Auto-apply to these computer software jobs

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India. Job Description/Preferred Qualifications Mechatronics Engineers are core to KLA's technology, while we do not currently have an opening, we are always building our Mechatronics Engineering talent community, we are interested in learning about your background. Apply to this posting for Future Opportunities with KLA. Join a fast-paced, dynamic team, designing complex semiconductor equipment! The hardware development team is a collaborative, multidisciplinary group focused on designing groundbreaking metrology products. Design prototypes, deploy mechatronics, and perform the first principal analysis for sizing components. Release the complete documentation package and work with the new product group to generate the vital documentation. Assist the program manager with inputs to the program schedules and evaluate skills requirements and material cost. Provide periodic updates to management. Participate in establishing a roadmap for next-generation electro-mechanical systems. Job Description Mechatronics systems design engineers are part of a multidisciplinary team that develops metrology equipment used in the semiconductor industry to enable our customers to solve very complicated requirements. Excellent interpersonal skills, written and verbal. Work independently on data collection, analysis, calibration, and writing scripts using Python or Matlab. Perform hands-on work with hardware and gather the vital data in the lab or the cleanroom. Define plans for system integration, testing, and solving. Good understanding of feedback control system design, system identification, signal processing, and its application to control and characterize mechanical systems. Knowledge of numerical optimization and image processing a plus. Strong experience with experimental design and hardware-in-the-loop experimentation to retire design risks. Basic/Intermediate knowledge of precision machine design. Willingness to take on responsibility and ability to quickly ramp from the existing documentation and on-the-job training. Work closely with the customer support organization. Some travel to customer sites Minimum Qualifications PhD. With 1+ years experience, or Master's degree with 3+ years experience, preferably in semiconductor product development. Doctorate or equivalent experience or Master degree in related fields of robotics, control systems, electrical, and mechanical engineering. Base Pay Range: $114,100.00 - $194,000.00 Primary Location:USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Electrical and Computer Engineering. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses. The Department of Electrical and Computer Engineering serves approximately 70 undergraduate majors and 20 graduate majors across four degree programs: Electrical Engineering BS/MS and Computer Engineering BS/MS. We have five full-time faculty members a well as a group of adjunct faculty members teaching the four programs. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/electricalandcomputerengineeringdepartment/ . The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements. The applicants should have relevant teaching experience. Minimum Qualifications: Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students. Required Education: A minimum of a bachelor's degree in relevant fields is required. A master's or doctorate level degree is preferred. Special Instructions: Interested applicants should contact the chairperson of the department, Dr. Jie Xu, via email jie.xu@lmu.edu and submit applications, including a cover letter and resume, as early as possible online at https://jobs.lmu.edu . A completed application consists of: A current CV/resume Cover Letter Statement of Teaching References - 3 references required Minimum salary is $2,467 per unit taught. Faculty Regular Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

Are you a current Aims Employee, Temporary Worker? If so, to help avoid future access issues, please apply through your Workday account using "Browse Jobs" in the in the Workday search field located on the top center of the screen. Are you a current Aims Student? If so, to help avoid future access issues, please apply through your Workday account using the Aims Jobs app on your Workday home page. Are you both an Employee and a Student? If so, to help avoid future access issues, please apply through your Workday account using "Browse Jobs" in the in the Workday search field located on the top center of the screen. For assistance, please contact the recruitment team at 970-378-3720. Minimum Hiring Annual Salary: $51,856.00 Maximum Hiring Annual Salary: $72,250.00 Placement within the salary range above is based on a combination of education and work experience. Included with Aims Faculty full-time employment is a generous package of benefits, most are listed below: Benefits are effective immediately 100% employer provided medical & dental coverage employees (employee only option) 85% employer provided medical & dental coverage for employee's spouse and/or family Voluntary vision insurance Faculty Personal Leave (16 hours per year) & Sick (minimum accrual of 12 days) 166 days worked with deferred paid (Summer semester off) Employer paid long-term disability and life insurance premiums Tuition waiver & reimbursement for employees Tuition waiver for dependents PERA employer (see www.copera.org for comprehensive benefits) Additional supplemental benefits & retirement programs available Access to the PERC (Aims gym) for employee & one guest Free parking on all campuses Job Description: Aims Community College actively supports an environment that embraces the College's Mission, Vision, Values and a culture of innovation and care. The College embraces and seeks to hire individuals who want to be a part of this environment and have the skill sets necessary to be successful in this position. Aims Community College actively supports an environment that embraces the College's Mission, Vision, Values, BaJEDI (Belonging, Justice, Equity, Diversity, inclusion), and Innovation. The College embraces and seeks to hire individuals who want to be a part of this environment and have the skill sets necessary to be successful in this position. Full-Time, Faculty, 9-month Academic position- Computer Information Systems Faculty. This is a Full-Time, due process, benefited Faculty position beginning Fall, 2025 The faculty member will conduct their assignments and co-curricular college activities in a manner consistent with the philosophy and purpose of Aims Community College as stated in the school catalog. The primary purpose of the faculty member is to teach. The faculty member is also responsible for professional development and service to the college. Teaching & Professional Obligations: Interacting with students to provide opportunities to learn, creating conditions that facilitate learning, and using techniques and methods that create a high probability that learning will occur. Instructional Delivery: Providing clear communication of information and promoting learning through an effective learning environment. Instructional Design: Designing, sequencing, implementing, and presenting experiences which promote student learning (both in-person & online), and designing, developing, and implementing tools, technologies, and procedures for assessing student-learning outcomes. Collaborate in the development and implementation of diagnostic, formative, and summative assessments of learning for students. Provide effective and high-quality instruction of subject being taught. Apply learning-centered educational practices such as creating and communicating clearly-defined outcomes for student learning. Provide a diverse array of learning activities that directly tie to those defined outcomes. Use assessment data to improve instruction and learning, and participate in an ongoing College-Wide dialogue about teaching and learning. Develop and refine department curriculum as necessary to maintain currency in pedagogy and content Adopt new teaching methodologies as appropriate. Implement department, division, and/or institutional goals as assigned. Maintain office hours, turn in grades on time, meet assigned classes. Submits course syllabi and other required documents on time. Manages the classroom facility. Keeps accurate attendance and grade records. Meets other professional obligations as stated in the Faculty Annual Plan and Evaluation Other Duties as Assigned Scholarly & Creative Activities (Professional Development) & Service to the College: Endeavors related to a faculty member's teaching assignment that contribute to the discovery, dissemination, and practical application of knowledge and/or skill. Acquire and/or maintain certification. Attend conferences, workshops, and/or training appropriate to one's field. Complete coursework related to one's teaching assignment. Create teaching methodology and instructional design. Other activities that contribute to keeping current in the content field. Helping the College meet the goals and objectives of its mission and strategic plan. Provide competent advising to students seeking AAS, AS, and/or AA Degrees and program certificates. Fulfill College service requirements by making meaningful contributions on campus and/or to community service groups. Participate in institutional and departmental recruitment and retention activities. Assist in the evaluation and selection of textbooks and other resources and materials in one's assigned area. Serve on department, division, and institutional committees. Assist in program and curriculum review, revision, and the development and assessment of learning. Maintain classrooms and/or labs. Demonstrate a willingness to embrace and apply the provisions of the College's mission statement, purpose, philosophy and commitment to diversity. Minimum Qualifications Bachelor's Degree in a computer related field; plus, One (1) year (2000) hours of related work experience within the last seven (7) years A+ Certification or the ability to become certified within one (1) year of beginning employment Shall hold or qualify for a full-time, post-secondary vocational credential in Computer issued by Aims Community College CTE Office. Contact Landon Loyd for the application at landon.loyd@aims.edu. This will require at least two (2) years (4,000 hours) of approved experience in Computers. The preference is 8,000 - 10,000 hours of work experience or a combination of work and teaching experience. Ability to teach using methodologies that support a student-centered learning environment. Computer literacy and the ability to use computer technology in classroom/lab instruction. A willingness to take classes in teaching methods, curriculum development, computer applications or other coursework deemed necessary by the Department Chair, Academic Dean, or Program Director. A positive attitude toward teaching courses in varied modalities, including online, synchronous remote and traditional face-to-face. Demonstrated aptitude for teaching the following skills: Client-side web scripting languages-using JavaScript and popular JavaScript Libraries such as jQuery, Server-side Web scripting languages - object oriented- PHP Database management using SQL in conjunction with server-side scripting (PHP-MySQL, HTML/HTML5, Cascading Style Sheets (CSS), Content Management Systems- Word Press, Drupal, Joomla, Microsoft Office Applications- Word, Excel, Access, Use of command line on Windows, Unix and Apple systems for file system management and batch scripting, Graphic formats use and manipulation, A+ Courses Preferred Qualifications Doctorate or Terminal Degree in Computer Information Systems or another related computer field. Experience teaching in computers at the college level. Secondary teaching experience will be considered. Experience teaching and supporting traditionally underserved student populations. A demonstrated aptitude for developing course content and teaching in varied modalities: online, synchronous remote, traditional face-to-face, and blended (hybrid) versions of each. Required Documents: Cover Letter Resume Teaching Philosophy Copy of Unofficial Transcripts (Official transcripts will be required upon hire) All Applicants: Compare your previous work experience to the job duties listed on the job positing under job description. Enter the job duties you have performed under the "Work Experience" section on your job application. We evaluate your experience based on this information. Please make sure you state whether work experience (aka work history) is part time or full time employment by listing the average number of hours worked per week. This information is used to determine your new annual salary. Be sure to upload all the required documents listed at the above in "Additional Job Description" section. This can be uploaded as part of your application materials in the "My Experience" section. If there are missing documents, your incomplete application will not be considered. Per the Colorado Job Application Fairness Act, you may redact information that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. For information on our hiring practices, please visit our resource page: https://www.aims.edu/departments/human-resources/hiring-process . Faculty: Upon hire, must submit academic transcripts from an accredited institution. Applicants who have degrees from outside of the United States must request a credential evaluation of their transcript. The National Association of Credential Evaluation Services (www.naces.org) or the Association of International Credential Evaluators (www.aice-eval.org) lists members who may be contacted for assistance in evaluating foreign credentials. All required documents need to be submitted on every application. There is no way for Aims to attach these documents in the process. However, upon hire current Aims Community College Faculty are not required to submit transcripts if official transcripts are already on file. Aims Community College is an equal opportunity employer. Selection will be based solely on merit and will be without discrimination based on age, ancestry, color, creed, disability, ethnicity, familial status, gender, gender identity, genetic information, marital status, national origin, sex, sexual orientation, race, religion, or veteran's status. All application materials must be submitted by the closing date posted and become the property of Aims Community College. The screening committee will select finalists for interviews. The goal of Aims Community College is to enhance the diversity present in the district we serve. To comply with the Immigration Reform and Control Act of 1986, if hired, you will be required to provide documents within three (3) business days of hire date to show your identity and your authorization to work. This law applies to all persons hired. To attain the maximum hiring amount employee must have: Liberal Arts or Developmental Education Faculty Position: applicable Masters degree plus 36 credits (or an applicable terminal degree), plus 10 years of applicable work experience. Career Technical Education (CTE) Faculty Position: applicable Masters degree, plus 10 years of applicable work experience. Screening/Selection: To be considered, please provide a thorough and complete application. Initial screening will be conducted by a committee based on completed application materials. Employees in these positions may be asked to participate in temporary assignments lasting less than 6 months (such as curriculum development, short term projects, meetings and substitute duties) which could amount to additional temporary pay. Upon hire, all positions at Aims Community College require a criminal background check and may require industry specific screenings such as an MVR, physical and/or drug screen. Keep in mind, a conviction does not automatically preclude candidates from being employed. The nature of a conviction will be considered relative to the duties of the position.

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a highly skilled Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems. In this role, you will: Be responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code. Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning. Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning. Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset. Collaborate closely with other experts on the team, including the planning and systems engineering team. Qualifications: Strong technical background. BS, MS or PhD with academic or at least 4-5 years industry experience in designing and implementing deep neural networks. You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud. A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines. Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch. Hands on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset collection and labeling to training and validation. Great communicator. You have experience writing clear, concise, and detailed documentation. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems. Benefits: Competitive compensation package including equity and biannual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits) Flexible PTO and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The annual salary range for this full-time position is $175,000-$275,000 + bonus + equity + benefits. Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits. At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

Job Description: Primary Responsibility The adjunct faculty members of Colorado Mountain College are here to assist students in their learning process by utilizing all appropriate staff resources, materials, facilities, and educational technologies available which complement the teaching process. The faculty members needs to be committed to facilitating learning throughout our communities. Although teaching is the most important role of the faculty, the needs of our learners are also served when faculty are engaged in scholarly endeavors as well as service activities. The college seeks innovative facilitators of learning who are active in the art of teaching and passionate about extending academic opportunities to all students. Colorado Mountain College is an institution offering associate and bachelor's degrees with a focus on positive classroom experiences and excellent outcomes for all students. CMC does not conduct research but instead focuses on excellence in teaching and learning in diverse classroom settings and programs. Successful candidates will demonstrate a passion for dynamic classroom experiences and excellent academic opportunities and student support. Pre-requisites for Position (Qualifications Standards) Qualified candidates must be credentialed to teach in the specific program or eligible to be credentialed. Examples of ideal qualifications include: A minimum of a master's degree in a specific degree for the position being recruited or a Master's Degree with a minimum of 18 graduate credits in a specifically related field. Example for business: (business, finance, management, marketing, or related fields). Minimum of one-year full-time teaching experience, or the equivalent as an adjunct instructor. Higher education teaching experience preferred. An equivalent/applicable combination of education and experience to perform the duties and responsibilities of the position required. Special Skills or abilities directly applicable to the position: knowledge with pedagogy, and teaching experience equating to two years. Must possess a strong background in computers and technology, excellent organizational skills, general office skills (filing, typing, answering the phone, customer oriented and attention to detail); excellent communication and interpersonal skills, willingness to learn, ability to research and effectively analyze data, work independently towards established goals and deadlines. Welcoming. Innovative. Focused on Student Success. These principles reflect the soul of CMC. They guide us in building our teams, cultivating leaders, and expanding our approaches and mindset. They guide us to be an institution of higher education that's the right fit for every faculty member, staff, student, and community member in its trust. Applicants must demonstrate a commitment to working effectively with students, employees, and community members of all backgrounds. Bilingual (English/Spanish) or conversational language abilities preferred. Minimum Qualifications: Essential Duties The following responsibilities and activities are listed to maintain consistency in the application of expectations and align job duties with evaluation and promotion procedures. Teaching responsibilities expected of all faculty include teaching course load as assigned, evaluate courses and assess student learning, meet established course, program and learning outcomes, comply with guidelines and policies, maintain office hours per established standards, develop rapport with students, assist with and participate in advising, orientation and registration activities. CMC Faculty are expected to engage in scholarly and creative activities that enhance discipline expertise and enhance learning. Service activities such as campus and college committees, participate in relevant projects, mentor peers, participate in and assist with assessment activities, program review, student organization, recruiting and retention. All faculty acknowledge that final payment of any contract may be withheld until submission of grades is complete. To teach classes as assigned by designated supervisor. To prepare appropriate lesson plans for each course in accordance with approved course objectives. To develop and submit course outlines and syllabi to appropriate supervisor. To assist with development of measurable course objectives and plans. To develop a relationship with students & staff that is professional and encourages teacher/student communication. To maintain accurate course records of students and complete course forms as required. Be available for student consultation. To assist in the recruitment of students, as appropriate. When agreed upon, and as appropriate, to assist in the evaluation of curriculum and instructional performance. To represent the college in a professional manner throughout the communities and college district by promoting a positive public image. To engage in professional development as required for credentialing. Supervision of the Position This position will report to the Assistant Dean of Instruction or designee in alignment with discipline deans. Supervisory Responsibility The position may supervise student employees. Special Conditions of Employment Successful completion of a background check will be required as well as motor vehicles records report when applicable. Incumbents in this position will adhere to all safety and compliance policies of Colorado Mountain College while performing all duties assigned. May require travel and evening and/or weekend hours. Working Conditions This position requires constant sitting, occasional walking, standing and driving; occasional handling objects, pushing/pulling; frequent reaching with hands/arms, and use of finger movements; occasional lifting, carrying, pushing or pulling objects up to 50 lbs. Constant written and oral communication and the ability to reason and analyze and perform calculations occasionally. Work is performed using a computer and standard office equipment daily and driving a vehicle occasionally. CMC is committed to the full inclusion of all qualified individuals. As part of this commitment, the College will assist individuals who have a disability with any reasonable accommodation requests related to employment, including completing the application process, interviewing, completing any pre-employment testing, participating in the employee selection process, and/or to perform essential job functions where the requested accommodation does not impose an undue hardship. If you have a disability and require reasonable accommodation to ensure you have a positive experience applying or interviewing for this position, please direct your inquiries to our ADA Coordinator, Human Resources, benefits@coloradomtn.edu NOTE: This position description is intended to indicate the basic nature of positions allocated to this class and provide examples of typical duties that may be assigned. It does not imply that all positions within the class perform all of the duties listed, nor does it necessarily list all possible duties that may be assigned. Employees may perform other related duties as required to meet the ongoing needs of the organization.

Return to Job Search Field Computer Specialist If you are detail-oriented, relish variety and feel at home around all kinds of technology, consider becoming U-Haul Company's newest Field Computer Specialist. In this role you will be responsible for all computer and security systems in your area, traveling from place to place to maintain equipment and train users. In exchange U-Haul provides excellent perks and benefits as well as a caring company culture. U-Haul offers its Field Computer Specialists: Full medical coverage, if eligible Prescription plans, if eligible Dental and vision plans Registered Dietitian Program, if eligible Gym Reimbursement Program Weight Watchers, if eligible Virtual doctor visits Career stability Opportunities for advancement Valuable on-the-job training Tuition Reimbursement Program Free online courses for personal and professional development at U-Haul University Business-travel insurance You Matter Employee Assistance Program Paid holidays, vacation and sick days, if eligible Employee Stock Ownership Plan (ESOP) 401(k) savings plan Life insurance Critical illness/group accident coverage 24-hour physician available for kids MetLaw Legal Program MetLife auto and home insurance Mindset App Program Discounts on cell phone plans, hotels and more LifeLock identity theft protection Savvy consumer-wellness programs - from health-care tips to financial wellness Dave Ramsey's SmartDollar Program U-Haul Federal Credit Union membership Field Computer Specialist Primary Responsibilities: Maintain maximum uptime for computer systems and associated broadband connectivity. Implement and maintain field computer systems for all entities within the assigned area. Support and train users as needed. Distinguish between user error and problems requiring escalation to other support teams or software vendors. Identify and coordinate solutions for security gaps and compliance issues. Participate in ongoing continuous U-Haul education through U-Haul University Field Computer Specialist Minimum Qualifications: Experience with technologies such as networking, administration, security-monitoring equipment, storage gates, alarm systems, doors, digital video equipment, printers, computers, VoIP, analog phones, air phones and cash drawers Current, valid driver's license and clean driving record Work Environment: The work involves moderate risks or discomforts which require special safety precautions, e.g., working around moving parts, machines, fumes or irritating chemicals. May be required to use protective clothing or gear such as masks, goggles, gloves or shields. Physical Demands: The work requires some physical exertion such as long periods both indoors and outdoors while remaining stationary, traversing spaces, repositioning to reach and use tools, and moving a minimum of 50 lbs assisted or unassisted. U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Founded in 2017, percipient.ai utilizes state-of-the-art research in Computer Vision, Artificial Intelligence, and Deep Learning to develop cutting-edge tools that bridge the gap between AI and human understanding. We pride ourselves on maintaining an inclusive and collaborative work environment that enables each individual to grow while having a meaningful impact on national security. Join our team today. Percipient is currently seeking to hire multiple computer vision scientists with varying levels of experience. Responsibilities: Work on highly impactful computer vision and machine learning problems our customers face. Develop and productize computer vision algorithms drawing upon computer vision literature and using your own ingenuity. Collaborate with engineering and product teams to create solutions. Requirements: Ph.D. in Computer Science or Electrical Engineering with a focus on computer vision. 5 years of industry experience, building and shipping computer vision systems. 2 years of hands-on experience with deep neural network based methods. Experience with object detection, classification, and tracking Strong software development skills. US citizenship required due to federal requirements. Nice to have: 8+ years of relevant work experience. Strong publication record in major CV conferences like CVPR, ICCV, etc. Experience building real-time computer vision systems. Experience architecting and tweaking deep neural networks for solving targeted problems. Very strong proficiency in programming (ideally C++ and python) $155,000 - $300,000 a year Our salary ranges are determined by role, level, and location. The range displayed reflects the average minimum and maximum target for new hire salaries for the position across all locations. Within the range, individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your assessed level and location during the hiring process. We want the best for all of our employees and go out of our way to provide top-tier benefits. Join our team to receive: ● Substantial Equity ● Unlimited Flexible Time Away (FTA) ● 401k Matching ● 90% Employee Medical Premium Coverage ● 65% Dependent/Family Medical Premium Coverage ● Flexible Spending Accounts ● Employee Referral Program ● Lunches & Snacks ● Commuter Benefits ● Life Insurance ● Travel Assistance ● And more Percipient.ai is a proud equal opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We hire talent located within a daily commutable distance to our office in Santa Clara, CA. We believe in the benefit of a highly collaborative in-office culture, so plan to be in the office 3-4 days a week. Selected candidates need to pass a third-party background check verifying employment, education, and criminal history before starting. Additionally, US citizenship will be verified. At this time, we are not accepting unsolicited submissions from agencies. Thank you.

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands. With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. The Training Manager will lead the development, implementation, and modernization of training programs for employees responsible for labeling and annotating EO and SAR imagery, including video formats. This role involves optimizing annotation workflows, developing best practices, maintaining high annotation accuracy, and ensuring compliance with project guidelines. This role requires expertise in AI-assisted annotation tools, regulatory compliance, and the evolution of best practices in AI-driven image analysis. The Training Manager will work closely with engineers, analysts, and policy experts to ensure that employees adhere to U.S. regulations and ethical standards governing AI-generated labels, including transparency, bias mitigation, and content authenticity. Responsibilities: Training & Development, providing structured training programs for data annotators, covering labeling techniques, accuracy improvement, and tool proficiency, using the latest F8F machine learning-powered annotation tools and automation platforms. Design and modernize curricula for annotators to label and annotate EO/SAR imagery, to include video formats. Develop specialized training for machine assisted automated object detection on SAR imagery, metadata tagging, and transparency labeling. Coordinate with platform engineering, project managers, and specialists to improve automated validation scripts for bounding box, segmentation, and object classification tasks. Provide hands-on training and mentorship to enhance workforce skills in automated image classification and AI-assisted video analysis . Partner with analysts, pod leads, and data specialists to help design upskilling pathways based on review insights and align quality training with mission goals. Implement continuous learning strategies , offering refresher courses on regulatory updates and technological advancements. Establish evaluation metrics to measure employee proficiency in AI-assisted annotation techniques. Ensure annotation approach is in compliance with President Biden’s Executive Order on AI (2023) and emerging federal/state laws governing AI-generated labels. Implement watermarking and metadata requirements in training, following the 2024 bipartisan bill mandating AI-generated content disclosure. FT Comment on the above - I think the above bullet is out of scope. I'm not sure we have a requirement to do this so recommend removing. Educate employees on bias mitigation, fairness in AI annotations , and consumer protection laws outlined by the FTC and customer requirements. Process optimization to develop best practices for efficient annotation workflows and continuously refine labeling guidelines within conditions and standards . Tool management and improvement, work alongside geospatial and AI experts to refine annotation guidelines and accuracy benchmarks, utilizing feedback loops on labeling tools and applications to enhance functionality. Monitor industry trends and integrate advanced AI techniques for annotation into curriculum updates. Stay informed on AI-driven innovations for video labeling and deepfake detection to enhance transparency. Documentation & Reporting for audits and optimization, enhance labeling procedures, generate reports on annotation performance metrics, and optimize AI-assisted segmentation models for EO/SAR imagery. Other duties as assigned. Required Qualifications: Bachelor's degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence, and 5 - 8 years of experience in quality control programs -or- HS Diploma or equivalent and 10+ years cumulative experience in Geospatial Analysis, Geospatial Engineering, or Cartography in lieu of degree. Proven ability to develop and modernize curriculum for annotators and/or AI-assisted labeling specialists. Strong background in workforce development and training program optimization. Deep understanding of EO/SAR imagery and geospatial analytics. Expertise in performance assessment and continuous learning strategies. Proficiency in automated annotation tools, deep learning segmentation models, and metadata tagging. Proficiency in reviewing labeled imagery, spatial annotation datasets, or structured data. Ability to implement ethical labeling and bias mitigation strategies in AI-based annotation. US Citizenship Active Secret clearance Desired Qualifications: Master’s degree in degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence and 15+ years of experience in Geospatial Engineering or GEOINT Operations -or- Bachelor's degree in previously mentioned degrees and 10+ years’ experience in Geospatial Analysis, Geospatial Engineering, or Cartography. Certifications in AI Ethics, Machine Learning, Geographic, Geospatial, or Regulatory Compliance (e.g., NIST AI Risk Management Framework, Certified GEOINT Professional, GIS Professional, ASPRS, GEOINT Professional). Extensive experience in AI-powered image and video annotation . Experience working with government agencies or defense-related AI imaging programs, IC data production standards, or government delivery workflows. Experience integrating FTC consumer protection laws and Biden’s AI Executive Order (2023) into training programs. Ability to incorporate AI advancements into training programs for image classification and video annotation. Familiarity with AI transparency laws at both federal and state levels. Knowledge of 2024 bipartisan bill mandating watermarking and metadata embedding in AI-generated content. Engagement with NIST, MIT Media Lab, or AI ethics organizations to stay updated on best practices. Active TOP SECRET clearance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software. Our mission Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come. We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch. Our product We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team. The role As a Computer Vision Engineer you will be responsible for doing the software and machine learning model development to improve the intelligence and efficiency of our camera system. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience. Job Requirements BS/MS in relevant technical degree 3+ years of experience with building computer vision software Strong coding ability; strong grasp of Python Experience with stereo vision, 3D reconstruction, and stereo calibration Experience with training neural networks / deep learning (ideally pytorch) Bonus Requirements Experience optimizing model inference for real-time inference on limited resources Strong software engineering skills; knowledge of best practices, testing, and deployment Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments Experience with Docker and cloud SW development (i.e. AWS) Basic database interaction; knowledge of SQL Benefits Competitive salaries and generous equity Unlimited vacation policy Flexible working hours Medical, vision, & dental insurance Retirement matching plan Potential travel to Norway Evolve in a fast-paced environment Be able to shape a business in its early days Get ideas, feedback, and suggestions from other best-in-their-field colleagues Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow Aquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location. Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors. At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible!

Team Description: Kitware’s Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER ) toolkit. About the Projects: Interns will be able to explore their own ideas to address challenging real-world computer vision problems, and will be encouraged to publish the results of their work in academic papers submitted to premier conferences. In addition, interns can also focus on contributing high-quality software to the KWIVER platform, an exciting, open source, and versatile platform for computer vision research and development. We consider the work that we do on our government contracts one of the ways that we give back to the community. We relish the opportunity to work on hard problems that have a direct impact on the health, safety and security of our community; our team members choose Kitware instead of working in large internet companies to sell web advertisements. One of our core values is to make the technology we develop as broadly available as possible. In This Position You Will: Be part of Kitware's overall mission of positive social impact through work in areas such as environmental monitoring, national and global security, ethical AI, open science, scientific computing, and medical computing. Algorithms: Deep learning and other computer vision methods for object detection, change detection, scene classification, event/activity recognition, 3D reconstruction from aerial imagery, video/image understanding, video/image search, and indexing, etc. Data: Images and videos from ground, handheld, aerial, or satellite cameras. Infrastructure: Opportunity to work on deep learning libraries like PyTorch or Tensorflow; large-scale computer vision. framework on the cloud; or performance optimization using GPUs, parallel computing, or embedded devices such as NVIDIA’s TX2. Required Qualificiations: Ph.D. students in related fields, including computer vision, machine learning, multimedia, signal processing, imaging science, and applied mathematics. Knowledge and experience in computer vision, machine learning, deep learning (PyTorch, Tensorflow, etc.), remote sensing or related areas. Proficiency in Python or C/C++. Due to contractual restrictions, only US Citizens will be considered for this position. Company Description: Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™. Additional Information: Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property. Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees. If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Mission Make general-purpose robots a reality via large-scale embodied AI. The Challenge We envision a future where robots assist with household chores and cooking, aid the elderly in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate reliably in messy, unstructured environments. Our mission is to answer the question, “What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?”. To answer this, we are gathering large datasets of physical interaction from a variety of sources (including robots and people) and training large generative foundation models on this physical interaction data along with language, video, audio, and other rich modalities. The Team Our goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently taught, learned, and improved over time in diverse, real-world environments. Our team has deep cross-functional expertise across simulation, perception, controls, language, vision, multimodal learning, and generative modeling. Success is measured by the advancement of robot capabilities and we’re strong believers in open research. Our north star is fundamental technological advancement in building robots which can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Come join us, and let’s make general-purpose robots a reality. We operate a fleet of robots, and robot-embodied teaching and deployment are key parts of our strategy. Some of our previous work is highlighted here. The Opportunity We’re looking for a driven machine learning engineer comfortable working on large integrated machine learning systems. Experience with robots or other embodied systems (such as autonomous vehicles) is a bonus. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let’s talk about how we can create the next generation of AI-powered capable robots, together. Responsibilities Collaborate with internal research scientists and our partner labs at top academic research universities, including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton, to drive pioneering research at scale. Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, video, actions) models at scale. Train, finetune, and serve robot foundation models with a strong MLOps mindset. Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack. Build and improve large data pipelines for foundation model training. Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publications. Qualifications 2+ years of professional ML engineering experience at an AI/ML-focused organization. Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision. Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP. Extensive practical experience with PyTorch. Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management. An ability to move fast and switch between modes of rapid prototyping and robust implementation as required. Nice to Haves Experience deploying models on embodied systems/robots. Experience working in mixed teams of research scientists and engineers. Experience with Amazon EC2, S3, and/or Sagemaker. Experience with Bazel. The pay range for this position at commencement of employment is expected to be between $165,760 and $248,640/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. We are seeking a versatile and hands-on engineer to join our Opportunity Discovery and Technology Adoption (ODTA) team as a Computer Vision Application Engineer. ODTA is dedicated to translating groundbreaking robotics research into real-world solutions that address customer needs and drive impact on the factory floor. As a Computer Vision Application Engineer, you’ll play a key role in bridging research and deployment. You will work directly with customers and internal team members to integrate advanced computer vision systems into real-world manufacturing environments. This includes on-site deployments, system calibration, and performance tuning, as well as building reusable tools and infrastructure to streamline future rollouts. This role combines fieldwork, software engineering, and system integration—ideal for someone who thrives at the intersection of applied research, technical execution, and customer success. This role is based at our headquarters in Los Altos, CA., and is expected to travel approximately twice a quarter to manufacturing sites across the U.S. Responsibilities Evaluate and integrate computer vision algorithms into customer-specific robotics applications. Develop tools and infrastructure for camera calibration, data pipelines, and system monitoring. Define and install optimal camera and lighting configurations for early deployments. Tune deployed systems for image quality (RGB and depth), accuracy, and performance. Manage contractors to design and install hardware components (mounts, lighting, industrial PCs, etc.). Contribute to internal ML model management tooling and deployment workflows. Lead end-to-end software deployment process, including data handling and CI/CD practices. Collect, analyze, and report performance metrics to ensure systems meet customer requirements. Produce clear, detailed documentation to support future scaling and customer enablement. Qualifications Bachelor's degree in software engineering, electrical engineering, robotics, or a related field. 5- 7+ years of industry experience in deploying computer vision or ML-based systems. Proficiency in Python and C++; strong software engineering fundamentals. Experience with camera calibration (intrinsics and extrinsics). Hands-on experience with industrial CV libraries (e.g., OpenCV, MVTec, etc.). Familiarity with Git-based CI/CD workflows and collaborative software development. Experience with ML platforms (e.g., AWS, SageMaker, or similar). Proven success adapting new technology to customer environments. Bonus Qualifications Strong background in 3D computer vision and machine learning. Experience deploying vision systems in manufacturing or robotics settings. Excellent communication and multi-functional collaboration skills. Creative, analytical problem solver with a practical, solution-oriented mentality. Passion for making advanced technologies usable, scalable, and impactful. The pay range for this position at commencement of employment is expected to be between $158,400 and $242,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Computer Network Defense Analyst (CNDA) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The Opportunity: As cyber threats evolve and proliferate at a rapid pace, CACI is at the forefront of cyber network operations (CNO) and enabling information superiority. We help our customers prepare, defend, and sustain their cyber missions and protect their enterprises against cyber threats. CACI is seeking experienced Computer Network Defense Analysts (CNDAs) to support core Intelligence Community (IC) missions through our Next Generation Analysts portfolio. Our national security depends on technology as never before, and this dependence is growing at an ever-increasing rate. As a cyber professional in the intelligence community, you will work as part of a team on the frontlines against our cyber adversaries. Join us in helping advance our national security interests as part of the world's most advanced team of cyber professionals. Responsibilities: As a Computer Network Defense Analyst (CNDA), you will: Use information collected from a variety sources (e.g., intrusion detection systems, firewalls, network traffic logs, and host system logs) to identify potential vulnerabilities, respond to cyber events that occur, and defend against events that might occur. Help develop mitigations to strengthen network defenses and protect against attacks on network infrastructure devices or systems. Support a wide range of data transport possibilities, such as traditional wired networks, wireless transport (including Wi-Fi and cellular), collaborative platforms such as video teleconferencing, and the hardware and software that enable it all. Advance your career as you develop increasing expertise in networking protocols and architectures, cloud security, Internet of Things protocols, and advanced network security. Be part of a team, working together with government, military, and contractor personnel to develop shared understandings of intelligence needs, mission relevance, and areas of expertise. Apply your innate curiosity and analytical talent to form hypotheses, critically assess and choose analysis techniques, then query, merge, enrich, evaluate, and pivot within data to attain and share insights. Distill, document, contextualize and share your findings--including any new tradecraft that you develop--with teammates, stakeholders, and intelligence consumers. Qualifications: Active TS/SCI with polygraph clearance STEM degree in Network Engineering, Systems Engineering, Information Technology, or related field. Extended military cyber training courses may be counted toward degree requirement. Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering. Must also have experience in network or system administration. Documented foreign language proficiency may count toward experience requirements. Specific labor category determined by years of experience + educational degrees and/or equivalencies. NextGen salaries are higher than national reflected average This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $105,100-$231,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Located in Boston's historic Fenway area, Simmons has a strong tradition of empowering women and challenging traditional gender roles. Simmons University was one of the first higher education institutions to prepare women to become leaders and has evolved to become a university offering a women's undergraduate program and graduate programs open to all. You're joining our community at an especially exciting time as one of our strategic goals is to become the most inclusive campus in New England. You'll find that people who work here are truly committed to our mission of preparing students to become champions of social justice and leaders in their professions and their communities. This commitment and pride make for a dynamic workplace. Simmons University is committed to inclusive excellence in all aspects of an individual's community experience. As a university committed to diversity, equity, and inclusion, Simmons encourages applications from all under-represented groups. Simmons is committed to creating, developing, promoting, and enhancing inclusive hiring practices-at all levels, for all positions-ensuring diverse talent pools and the delivery of a consistent positive candidate experience. Simmons is an equal opportunity employer and is committed to continuing to develop a more diverse faculty, staff, student body, and curriculum. Job Summary The Computer Science Program seeks qualified individuals to join our adjunct hiring pool to express their interest in future, part-time teaching assignments at Simmons University. Typical courses include Introduction to Programming (in Python) for beginner programmers, as well as more advanced courses in programming or other aspects of computing systems (networking, cybersecurity, etc). A teaching assignment will commonly include both lecture and lab sections in the fall or spring semesters. Total class contact time will be 3 hours for the lecture and 1.5 hours for the lab. Adjuncts are also expected to hold office hours during the week for at least 2 hours (for example, half an hour before and after each class, if the class meets twice a week). Requirements: Master's degree required; Ph.D. preferred. Teaching experience is preferred, at either the college or high school level. Additional Information: Applications will be accepted continuously into the pool and will be drawn upon to fill vacancies as they become available. Candidates are encouraged to offer updates of their CVs and contact information, as necessary. Application Instructions: Interested candidates should submit a letter of application, CV, statement of teaching philosophy (optional), and contact information for at least two professional references. Please upload all documents to the Resume/CV section on the 'My Experience' page of your application. Please contact Amber Stubbs (stubbs@simmons.edu) if you have any questions. Instructions to Applicants: Please upload all applicable application materials (e.g. resume/cv, cover letter, writing sample, teaching philosophy, etc.) in the Application Materials box on page 2 ("My Experience") of this application. Documents can be uploaded individually or as a combined document (e.g. PDF). Simmons University is committed to inclusive excellence in all aspects of an individual's community experience. As a university committed to diversity, equity, and inclusion, Simmons encourages applications from all under-represented groups. Simmons is committed to creating, developing, promoting, and enhancing inclusive hiring practices-at all levels, for all positions-ensuring diverse talent pools and the delivery of a consistent positive candidate experience. Simmons is an equal opportunity employer and is committed to continuing to develop a more diverse faculty, staff, student body, and curriculum.

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role The Director of Network Operations, Computer Vision will oversee the end-to-end operation of our network & computer vision infrastructure. This role is critical to ensuring the performance and reliability of network and production systems across our core vision platform. The ideal candidate will bring deep technical knowledge, leadership experience, and a strong commitment to reliability, scalability, and security. Responsibilities Strategic Leadership: Develop and lead the network and production systems operations strategy aligned with business objectives, especially those tied to computer vision hardware performance in dynamic, real-world environments. Team Management: Lead, mentor, and develop a team of network engineers, systems engineers, and automation developers, fostering growth in hands-on AI & robotics operations. Network Performance & Optimization: Conduct analysis and implement improvements to maintain optimal health and efficiency of field-deployed networks and production systems, distributed across sites throughout the world. Alerting & Monitoring: Proven hands-on experience building and maintaining large-scale, production-grade alerting and monitoring systems, especially those supporting edge AI and robotics systems. Incident Management: Establish and manage an effective incident response protocol, ensuring rapid response and resolution of issues across our infrastructure. Fleet Management: Implement and manage solutions for monitoring, deploying, and maintaining hardware across diverse environments (e.g., warehouses, industrial sites, parking garages, etc.). Capacity Planning & Scaling: Collaborate with technical and business teams to plan and implement scaling for both network and production infrastructure to support increasing hardware deployment footprints. Budget Management: Manage the operational budget, making cost-effective decisions on hardware, field tools, and technology investments. Vendor Management: Collaborate with network and hardware vendors, negotiate SLAs, and manage performance, with a focus on suppliers of computer vision components, edge compute, and connectivity solutions. Continuous Improvement: Proactively identify and implement opportunities to enhance operational efficiency, uptime, and reliability across our infrastructure. Travel: Some travel required for site launches, customer visits, and hardware deployments. (Up to 25%) Qualifications 10+ years of experience in network or production systems operations, with at least 5 years in a leadership role. Strong expertise in deploying and operating real-world computer vision or robotics systems, including knowledge of Linux systems, network protocols, and edge compute concepts. Demonstrated experience with large-scale field deployments and operational support for distributed hardware. Proven ability to lead high-performing technical operations teams in fast-paced environments. Excellent project management and prioritization skills, especially across field engineering, infrastructure deployment, and support. Clear communicator with the ability to explain highly technical topics to non-technical stakeholders, including external partners and customers. Certifications such as CCNP, CCIE, or equivalent are highly valued. Experience in a high-growth or technology-driven company. When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 to $190,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite Join us in making a difference as we build our future. Metropolis is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. Metropolis prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Grand Valley State University's Padnos College of Engineering invites applications for multiple Electrical and Computer Engineering focused visiting faculty positions. They involve teaching in support of our Bachelor of Science in Engineering (BSE) program at undergraduate level. These positions will support the continued growth of GVSU's Electrical and Computer Engineering Programs. The Electrical and Computer Engineering Program offers BSE (ABET-accredited) and MSE degrees. The BSE programs include an extensive experiential learning component and a three-semester mandatory co-operative education experience through an alliance with local industry partners. The MSE program emphasizes professional practice as well as applied research. Our graduates are fully prepared to meet the demands of the industrial workplace or continue advanced studies. Required Qualifications and Education: Master's degree in Electrical or Computer Engineering or a closely related field. Excellent verbal and written communication skills. Commitment to delivering high-quality laboratory and project-based teaching. Expertise with electronic instrumentation and proficiency in C-programming. Applicants with expertise in all areas of electrical and computer engineering are encouraged to apply. Preferred Qualifications: Preference may be given to individuals with a doctoral degree in Electrical or Computer Engineering or a closely related field. Preference may be given to individuals in the following areas: digital systems, microcontrollers, wireless communication, digital signal processing, cyber security and engineering, artificial intelligence and real-time operating systems. Responsibilities - Essential Functions: The visiting faculty is expected to teach introductory classes across the EE and CE curriculum Instructors are expected to demonstrate excellent laboratory skills, manage class projects, and foster a hands-on learning environment. Minimum Starting Salary: $60,000; Commensurate with experience Limited benefits package including medical, life insurance, wellness resources and tuition waiver effective on date of hire. Department/Division: Padnos College of Engineering Campus: Robert C. Pew Grand Rapids Campus How To Apply: Apply online at jobs.gvsu.edu and select "Apply now." Please include a (1) letter of interest or nomination, (2) curriculum vitae, and (3) statement of teaching philosophy. The online application will allow you to attach these documents electronically. You will be required to provide names, phone numbers, and e-mail addresses for three professional references on the application. Applicants selected for interviews will be required to submit official transcripts prior to the interview. If you need assistance, call Human Resources at 616-331-2215. Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. Application Deadline: Consideration of applications will begin immediately, and the posting may be closed at any time at the university's discretion. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Must have the physical stamina to work long hours and/or more than 5 days per week. The requirements listed are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The information contained in this job description is for compliance with the Americans with Disabilities Act as amended by the ADA Amendment Act (2008), Section 504 of the Rehabilitation Act of 1973, and other applicable federal and state laws that prohibit discrimination on the basis of disability. GVSU will provide reasonable accommodations to qualified individuals with disabilities upon request. See www.gvsu.edu/affirmative/. TDD Callers: Call Michigan Relay Center at 711 (in State) or 1-800-833-7833 (out of State). Grand Valley State University is an Affirmative Action/Equal Opportunity Employer, which includes providing equal opportunity for racial and ethnic minorities, women, protected veterans and individuals with disabilities. University policy extends protections to additional identities.

Shirley prides itself on attracting, developing and retaining the best employees in the industry. We hire ambitious and dedicated professionals to fill positions at all levels of our organization. Shirley Contracting Company, LLC is looking for a Senior Survey Computer Technician. Responsibilities: Preparation of construction computations, cutsheets and other documentation needed for the construction and acceptance of Highways, Roads & Bridges Project Coordination with Survey Manager and Field Crews Hardcopy computations for Sanitary Sewer, Storm Sewer, Waterline, Curb & Gutter, Retaining Walls, Bridges and other related physical improvements Produce Existing Condition /Topographic Surveys and As-built Surveys Evaluate field crew data collector files, field notes, sketches, digital photographs and other field relations materials for accuracy and completeness Generate digital terrain model surfaces using 3D polylines & points Other related duties as assigned Qualifications: Current VA Land Surveyor License, SIT certification or a strong desire to become licensed High School Diploma/GED with minimum three (3) to five (5) years office experience Previous Field Party Chief experience a plus Experience in Autodesk CIVIL 3D, preferred Experience in stakeout computation and as-built preparation in accordance with government standards ideal Strong listening and verbal communication skills Excellent organizational skills Ability to meet project deadlines and time frames Must have a valid driver's license and an excellent driving record Must pass pre-employment physical and drug screen Benefits: Competitive salary, Health, Dental, Vision, Life Insurance, 401K with Company Match and Company Contribution, and PTO (Vacation, Sick, and Holidays). Applicants must be 18 years of age and currently authorized to work in the US on a full-time basis in order to be considered. Equal Opportunity Employer: Shirley Contracting (subsidiaries and affiliates) is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Shirley Contracting promotes a drug-free workplace. Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA); Equal Employment Opportunity (EEO) and Employee Polygraph Protection Act (EPPA). For more information on Equal Opportunity, you may visit this link. Applicants must be currently authorized to work in the US on a full time basis in order to be considered.

Tunista Operations Support Services LLC Regular PRIMARY FUNCTION The Computer Operator IV/SA (*Information Systems Analyst) plans, coordinates and directs Information Technology (IT) related activities in Base Supply. The Computer Operator IV/SA determines the organization’s information technology goals and needs and implements computer systems accordingly. ESSENTIAL FUNCTIONS Functions as the system level Information System Security Officer (ISSO), a unit Cybersecurity Liaison, Unit Records Manager, SharePoint Site Owner and IT Equipment Custodian. Analyzes and plans for the organization’s IT requirements and implements strategies accordingly. Finds solutions for IT related issues that will help the organization operate more efficiently and effectively; makes recommendations to Program Manager and Government for upgrades and required changes Ensures servers, workstations, peripherals, communications devices and operating system / application software are properly configured for network operation Plans and directs the installation, repairs, and upgrading of computer hardware, handheld terminals, and local software Analyzes, develops theory, resolves and restores function, and evaluates for long term solutions when a user or an automated monitoring system informs that a problem exists. Identifies, understands, and plans for organizational and human impact on planned systems, and ensures that new technical requirements are properly integrated within existing processes and skill sets Interacts with internal users and customers to identify and document technical requirements which are then used for critical business operations or to promote business Collects and analyzes data in order to evaluate the network’s performance; acts to make adjustments as necessary for optimal performance Stays informed about new technology and AF policy to keep organization’s IT systems and shared resources updated, optimized, and in compliance Develops, implements, oversees, and maintains the organization’s Cybersecurity program requirements for personnel, processes, and procedures in accordance with AF and DOD policy. Includes oversight and approval for all network account access controls within IT Systems purview including user accounts, organizational mailboxes, security groups and distribution groups Ensures cybersecurity compliance of the organization’s network, systems, and electronic documents Ensures use of data encryption to protect sensitive information Follows compliance reporting requirements as specified in AF policy, TCNOs or Wing Cyber Office directives. Directives may require compliance-based, task-based, or asset-based reporting Prepares reports documenting security breaches, including the extent of damage caused by any suspected breach Ensures all users have the requisite security clearances, supervisory need-to-know authorization, and are aware of their cybersecurity responsibilities (via Cyber IAA training) before being granted access to Air Force Information Systems. Maintain all user Network License Form Agreement and AF 4394 forms in official records Acts as point of contact for all computer security incidents within an organization Obtains certification & accreditation documentation for accountable records of required systems and of unique software for review by the Wing Cyber Office and records filing Ensures compliance with AF policy, review access requests, and maintain SharePoint sites – Base Supply Site, Systems Management Site, MICAP site, and Records Management site. Acts as point of contact for and monitor the Records Management Program Ensures RCs prepare file plans utilizing AFRIMS, to include e-records, vital records, web records, web pages and protection of information affected by the PA Maintains local Automated Data Processing Equipment (ADPE) accountable records Act as the ILS-S liaison between the Global Logistics Support Center (GLSC) and Base Supply Assists KAFB customers on all programs regarding the following: ES-S, DISCOVERER, and any other supply systems Assigns and manage all ES-S roles including Capability and Transactions additions and deletions Provides end of year support in accordance with AFI 23-101, AFMAN23-133, AFH23-123 Provides Discrepancy Report (DIREP) listings to the COR, upon request Provides methods to customer support personnel for copying reports from 635 SCOW website to Supply webpage, and maintain electronic distribution of reports and listings The Computer Operator IV/SA – Lead may be required to perform other related duties to meet the ongoing needs of the organization. SUPERVISORY RESPONSIBILITIES This job has no supervisory responsibilities. This position has the responsibility and authority to carry out assigned tasks. KNOWLEDGE, SKILLS, & ABILITIES: Advanced computer troubleshooting and problem-solving skills, as well as comprehensive working knowledge of Microsoft Server and Windows OS, Microsoft Office Suite, MS SharePoint, and Adobe Acrobat; ability to learn additional computer skills or software programs. Intermediate to advanced knowledge and experience in networking, and computer security Experience with AF Active Directory, SharePoint administration, and Remedy Ticket processes Ability to accurately enter data into databases. Ability to understand and interpret documents such as safety rules, installation, operating and maintenance instructions, configuration tutorials, applied troubleshooting, and procedural manuals. Ability to generate routine reports and correspondence Must have excellent interpersonal skills to work effectively and cooperatively with all levels of management and staff. Must be trustworthy and discreet – will handle confidential information routinely Ability to use general office equipment such as fax, phone, copier, etc. Ability to understand and follow a process. Strong professional customer service skills, including active listening, prompt service and follow-up. Excellent analytical skills. Must be able to evaluate data, as well as cohesive or disparate information sets, and extrapolate the impact of decisions and actions across multiple areas. Strong decision analysis and problem-solving skills; ability to draw conclusions and justify decisions. Must be able to effectively communicate issues to management and regulatory agencies Ability to learn and understand corporate policies and procedures and how they relate to goals. Ability to multi-task, perform basic mathematical computations, detect non-obvious facts and issues, and exercise resourcefulness in resolving problems. QUALIFICATIONS: Associate’s degree in related field required; Bachelor’s Degree desired Must have and maintain CompTIA A+ and Security + Certification Minimum of one years’ experience in Air Force Systems Management or Network Support Ability to pass a drug and background screening PREFERENCE STATEMENT Preference will be given to Calista shareholders and their descendants and to spouses of Calista shareholders, and to shareholders of other corporations created pursuant to the Alaska Native Claims Settlement Act, in accordance with Title 43 U.S. Code 1626(g). EEO STATEMENT Additionally, it is our policy to select, place, train and promote the most qualified individuals based upon relevant factors such as work quality, attitude and experience, so as to provide equal employment opportunity for all employees in compliance with applicable local, state and federal laws and without regard to non-work related factors such as race, color, religion/creed, sex, national origin, age, disability, marital status, veteran status, pregnancy, sexual orientation, gender identity, citizenship, genetic information, or other protected status. When applicable, our policy of non-discrimination applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, training, transfer, promotion, placement, layoff, compensation, termination, reduction in force and benefits. REASONABLE ACCOMMODATION It is Calista and Subsidiaries' business philosophy and practice to provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities. The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

Great people. Great careers. Join the team at Great Plains Health, where you can be a part of something, well, great. Job Title: Computer Systems Analyst Cost Center: Information Systems Job Description: The PC Systems/Applications Analyst is responsible for serving as primary resource for the application and use of organization-wide PC-based software, troubleshooting of PCs and peripheral operation, performing repairs and installing hardware and software. He/She will work with the Windows and UNIX Network/System Administrators in planning and implementing equipment, upgrades, and new software that affects end user devices. This includes, but is not limited to, Windows, Microsoft Office and antivirus software. The PC Systems/Applications Analyst is a resource for any implementation teams or departments that deal with organization-wide PC applications. The PC Systems/Applications Analyst will participate in necessary analysis of customized daily, weekly, monthly and annual reports from the IS department's trouble tracking system. Minimum Qualifications o Education o High school diploma or equivalent required. o Credentials o None Physical Demands 1. Stand and/or walk frequently. 2. Sit constantly. 3. Lift and/or carry 30 pounds frequently. 4. Push and/or pull 25 pounds frequently. 5. Bend, stoop, crawl and squat frequently. 6. Reach floor to overhead frequently. 7. Climb ladders up eight feet with wiring (10 pounds) frequently. Essential Functions 1. Communicates effectively and openly in operations activities. Demonstrates courtesy, diplomacy, and tact in interactions with internal and external customers. Follows the customer service guidelines established by the organization. Fosters trust in relationships with workforce members. 2. Monitors system usage indicators, job queues, and print queues, taking corrective action as needed. 3. Responsible for operating the IS Call Center. Administrates the service ticket system with other workforce members. Manages computer system Downtime communication process. 4. Orders, receives, configures, repairs and disposes of end user computer devices. Maintains end user device inventory. Documents common user issues and resolutions within Help Line ticketing system. Shares common issues with on-call staff. 5. Troubleshoots end user problems with and has the ability to install, upgrade, and troubleshoot personal computers and peripheral equipment. 6. Installs software using automated software installation or via remote control tools. Maintains active data security posture. Resolves computer virus/malware issues. 7. Attends training as directed. Researches solutions to configuration and setup issues. Creates solutions using existing software and hardware tool set. 8. Follows hospital rules, policies, and procedures as well as applicable laws and standards including those that are established for safe patient care and prompt reporting of patient safety issues and errors. Join us. Join great. Join the dynamic team at Great Plains Health and be a part of something truly exceptional. At Great Plains Health, we embody a culture defined by authenticity, integrity, and a genuine commitment to listening to both our patients and each other. As a member of our team, you'll experience a supportive environment where collaboration is key, and every voice is valued. We work together seamlessly, leveraging our collective strengths to provide the highest quality care to our community. Passion drives us forward, propelling us to constantly strive for excellence in everything we do. If you're seeking a rewarding career in healthcare surrounded by like-minded individuals who share your dedication and enthusiasm, Great Plains Health is the place for you. Come join us and be part of a team that's making a real difference every day.