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Job ID: 5375 Date Posted: November 4, 2025 Are you interested in a career that combines your love of aerospace and computer vision? Come join a high-performing Computer Vision team developing leading edge technology. The Space Dynamics Laboratory (SDL) is seeking a Senior Software Engineer to become a part of our team. We are world leaders in developing frameworks that support high speed image processing and distribution of image products. Candidates should possess familiarity in one or more of the following areas: computer vision algorithms, software design, real-time processing, APIs, signal processing, GPU processing, graphics, data visualization, and database design. The Strategic & Military Space Division delivers advanced satellite and sensor systems that support the Department of Defense and the Intelligence Community. Our division is a key component of national security, providing technological solutions and expert mission support. Become part of a team dedicated to making a tangible contribution to our nation's defense capabilities. Required Qualifications: Bachelor's or higher degree in computer vision, computer science, aerospace engineering, or a related discipline 7+ years' professional experience in design and implementation of computer vision technologies Ability to mentor junior Engineers Familiarity with classical computer vision algorithms and concepts, such as object detection, and pinhole/perspective camera models Familiarity with 3-dimensional coordinates and coordinate transforms Experience with MathWorks, C++, and/or Python for image processing and computer vision Ability to architect the framework that is used to develop, and deploy computer vision Experience with common software development practices, including Agile/Scrum or similar methodologies Version control and continuous integration Testing strategies and code testability Must be a US citizen with the ability to obtain and maintain US Government Security Clearance In your application materials, please indicate your experience with the following: Designing modular software and communicating/refining designs independently or with a team through whiteboarding, diagrams, UML, etc. Specific computer vision applications, such as object detection and tracking, image segmentation, photogrammetry, etc. MATLAB and Simulink automatic code generation toolchains Mentoring, leadership, and experience sharing with junior Engineers Aerospace, including satellite ground and/or flight systems Atlassian management tools (JIRA, Confluence, Bitbucket, etc.) Salary Range $99,000 - $139,000 Salary commensurate based on education and relevant experience This range serves as a general guideline and may vary based on factors such as role, level, location, market conditions, and individual qualifications, including job-related skills, experience, and relevant education or training. The range displayed in the job advertisement reflects the minimum and maximum target salaries across all US locations. Specific salary details for a candidate's preferred location can be provided by the recruiter or HR manager during the hiring process. Why Join SDL? SDL offers competitive salaries and a comprehensive benefits package. Visit our Benefits Page to learn more about what we offer. SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites, sensors and instruments, ground systems and data processing, and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers, scientists, technicians, and business professionals in our seventh decade of delivering mission success. At SDL, we strive to uphold a culture of respect, collaboration, empowerment, and accountability. We listen with open minds, seek to understand diverse perspectives, and engage in thoughtful dialogue. We work together by sharing knowledge, involving others, and offering support. We trust and empower our team members to take ownership, act with integrity, and be accountable. Above all, we deliver on our commitments to each other and to our mission partners. The application window for this position is expected to remain open for approximately 14 days. However, it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly. For questions, assistance, or accommodation with the application process or the DoD SkillBridge program, please contact employment@sdl.usu.edu.

Make the most of your talents in a fast-paced environment driven by people who strive for achievement. Enjoy corporate strength, stability, and a rewarding career at a growing industry-leading and diverse operating company with a track record for success. Tap into the professional possibilities of Enterprise Products Company. The Flow Computer Services Specialist supports field operations and measurement and material balance in all support needs regarding new and production flow computers. Responsibilities include, but are not limited to: Compliance with all required safety standards. Compliance with all required company and flow computer services procedures. Assisting field operations in maintaining current production flow computer base. Managing assigned capital projects regarding new flow computer procurement, programming, and checkout. Upgrading applications and firmware as needed. Auditing production flow computer configurations and programming as needed. Troubleshooting and adding ethernet communication to each flow computer as needed. Research and development of new flow computer technology both hardware and software. Lab and field-testing both current and new configuration and programming functionality. Assisting measurement and material balance back-office systems in data acquisition as needed. Primary work location will consist of office online network support. Up to 30% local on-site support may be required. 24/7 On-call rotation support. Developing and presenting flow computer training both face to face and webinar as required. The successful candidate will meet the following qualifications: High school diploma or G.E.D is required. Valid driver's license is required. Associate degree in an electronics or technical discipline is preferred. Minimum of 5 years hands on experience with liquid flow computers is preferred. Minimum of 8 years of pipeline or related industry experience is preferred. Advanced knowledge of Microsoft office applications. Understands and demonstrates proficiency in the use of computer hardware and software. Understands and demonstrates proficiency in the use of flow computer hardware and software. Clear understanding and knowledge of API and GPA requirements in relation to flow computers and measurement and material balance. Understands and demonstrates proficiency in troubleshooting primary, secondary, prover and tertiary devices. Understands and demonstrates proficiency in analyzing P&ID and wiring diagrams. Understands and demonstrates proficiency in the use of test equipment. (Multimeter, RTD calibrator, Oscilloscope). Clear understanding and knowledge of polling systems used by pipeline control and measurement and material balance. Lifting of the flow computer (approximately 25lbs.), heavier weights in the form of tools and personal luggage may be required during travel to field sites. Extensive use of hands for using tools when connecting or disconnecting wires and when adding hardware or upgrading firmware. Bending and squatting may be necessary to access the back-panel wiring terminals of the flow computers. Up to 30% domestic travel as required. (Company pool vehicle, rental, personal vehicle, or air travel as deemed appropriate.) #IND123 #LI-RW1

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.

Job Title: Adjunct Faculty - Computer Information Technology Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair All Applications must include a Cover Letter and an Unofficial Transcript Who We Are: We are an open-access college that fuels Indiana's economy through excellence in teaching and proactive engagement with industry and community partners, embedded in a culture of innovation that empowers all students to learn and succeed. We are "higher education at the speed of life!" Our Values: Empathy: We stand with our students, partners, and communities. Integrity: We treat all with dignity and respect. Accountability: We deliver on our commitments. Agility: We innovate, iterate, and transform. Connectivity: We connect with partners to strengthen communities and ensure student success for all. About the Role: Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. MAJOR RESPONSIBILITIES: Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student records, grades, and other requirements. Engage with students proactively and regularly in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College. Demonstrate evidence of developing and implementing teaching strategies focused on engaging online students with their learning. Interact with students and co-workers in a professional and cooperative manner, complying with College policies, guidelines, and expectations. Maintain a safe, quality online educational environment. Must demonstrate the ability to promote an environment that reflects the broad backgrounds represented by our students and employees in which every individual feels respected and valued. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. EDUCATION AND EXPERIENCE: A qualified faculty member in computer information systems is one who: Possesses an earned master's degree or higher from a regionally accredited institution in computer information systems, management information systems, information technology, computer science or a computer-related degree as appropriate to the course and/or specialty being taught; OR Possesses a related or out-of-field master's degree, from a regionally accredited institution, with documented 18 semester hours or equivalent of courses in a computer, business, mathematics, or engineering-related field as appropriate to the course and/or specialty being taught beyond the introductory principle(s) level; OR Possesses a bachelor's degree in mathematics, engineering, or business/computer related field from a regionally accredited institution as appropriate to the course and/or specialty being taught with documentation in two or more areas of: Professional certification (national, regional, or state) in the field Two years of in-field professional employment Documented evidence of teaching excellence, including date of award Documentation of research and publication in the field Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military. Preferred Qualifications: Two years of in-field professional experience with Amazon AWS or Microsoft Azure Working knowledge of Linux operating system. Current CompTIA A+, Net+, or Sec+ certification Extensive knowledge of virtualization Must demonstrate ability to promote an environment that reflects the broad backgrounds represented by our students and employees and which every individual feels respected and valued. All Applications must include a Cover Letter and an Unofficial Transcript Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Do you love working in an academic environment? Do you love teaching and mentoring students, helping to shape the future? If so, we have the job for you! Shaw University is looking for Part-Time (Adjunct) Faculty, Computer Information Science. Reporting to the Dean, the Adjunct Faculty of Computer Information Science teaches traditional and/or non-traditional college-level students, at on-campus and/or off-campus sites on weekdays and/or weeknights and Saturdays. In addition to the utilization of a variety of teaching strategies, part-time teaching faculty must provide student assistance and advice in their subject area, and may be required to participate in student orientation sessions. Essential Job Functions: Demonstrates acceptance and support of the mission and goals of the University. Effectively teach knowledge-relevant college-level Computer Information Science courses, with a commitment to providing excellence in education. Present course teachings in such a way that students are encouraged to develop critical thinking and problem-solving skills, to increase motivation, to develop a positive self-image, and to clarify their values. Actively engages in planning, developing and improving curriculum offerings. On the first day of class, provides each student with a copy of a course syllabus that conforms to University-approved requirements. Teaches the course in accordance with the course syllabus. Informs students of the course objectives and requirements, explains the grading system and attendance policy, and provides a bibliography of suggested readings. Participates in orientation sessions conducted each semester by the Division Head, as applicable. Ensures that undergraduate students are aware of tutorial and support services of the Academic Support Center, which includes advising, tutorials and first-year programs, and all other departmental workshops associated with student learning. Other duties as assigned by supervisor. Education and/or Experience Doctorate in computer science, computer information science, or a related field required from an accredited institution Minimum of 18 graduate semester hours in the teaching of Computer Information Science Computer architecture, operating systems, and networking expertise/networking security are preferred. Ability to effectively teach college-level courses, with a commitment to providing excellence in education, including the ability to present course teachings in such a way that students are encouraged to develop critical thinking and problem-solving skills, to increase motivation, to develop a positive self-image, and to clarify their values. Computer skill proficiency with Microsoft Outlook, Word and Excel software. Ability to work collaboratively with a diverse population and adapt to change. Knowledge and experience in using instructional technology. Other Competencies Must have a philosophy that is consistent with the Mission, Vision and Core Values of the organization. Vision, commitment, and experience in achieving goals and pursuing excellence are critical. Strong oral and written presentation skills. Ability to work well independently and as a member of a team. Excellence in organization, decision-making, problem-solving, and creating a collaborative environment. Ability to manage multiple projects simultaneously. Must be able to read, write and speak fluently in English. For faculty employment consideration, a candidate who meets job opening qualifications must COMPLETE THE FOLLOWING STEPS for EACH job opening to which the qualified candidate applies. A current, fully complete resume or curriculum vitae An unofficial Graduate transcript An application cover letter with statements of teaching philosophy and research interests Three current letters of reference. A resume or curriculum vitae without an accompanying Shaw University Application Form cannot be accepted. Following the Human Resources office's receipt of a candidate's fully completed application package for a current job opening, then an applicant can be considered for employment, with their application information submitted to the recruiting manager/selection committee for review. Any potential hire is contingent upon the FINALIST candidate's ordering OFFICIAL transcripts of the highest graduate-level degree(s) awarded to be sent DIRECTLY FROM the awarding institution(s) DIRECTLY TO the Shaw University Human Resources Department at 118 E. South Street, Raleigh, NC 27601. Hand-delivered sealed transcripts will not be considered as official - they must be received directly from the awarding institution(s). Candidates are personally responsible for any potential travel and/or relocation expenses incurred. We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, or any other legally protected status.

Who are We? Brooke Charter Schools is a network of four public charter schools, serving grades K-12 in Mattapan, Roslindale, and East Boston. At Brooke, we coach and invest in our teachers so that they can help our students achieve at the highest levels and graduate from college. We believe academic achievement empowers our students to live choice-filled lives and enhances their ability to contribute to creating a just world. In a culture of achievement, educators support students in recognizing and building on their identities as sources of strength even as they work to grow and achieve in new ways. What is the High School Computer Science Teacher Role? As a Computer Science teacher at Brooke High School, you will join a growing team of three teachers who are working to make CS education available to every student. You are the leader of your classroom and build strong relationships with students in order to push them to be their best selves both academically and personally. You crave feedback, think deeply about instruction, and collaborate with colleagues in order to meet the needs of every student. To that end, you will take part in regular data meetings, engage in approximately 20 administrative observations, and participate in nearly 300 hours of professional development over the course of the school year. Hours for this role are 7:45 am - 4:00 pm. You will teach multiple sections of computer science daily and also serve as an advisor; advisors mentor students, communicate with families, and share information about colleges and character education. You may choose to lead an after-school club or coach a sport for an additional stipend. Salaries are competitive with local districts. Salary range is $72,000-$128,000. Commensurate with experience. Commensurate with experience. Computer Science teachers will also earn an additional $16,500 stipend for teaching a high-need subject area. Is This You? You've earned a Bachelor's degree (in any field) and have content knowledge in programming or computer science. (It's a major plus if you have experience with FIRST Robotics and/or the use of makerspace equipment) You are committed to fostering diversity by cultivating anti-racist practices and removing bias, empowering students with the resources they need to create choice filled lives for themselves and their futures. Read more about how we are working on this at Brooke here. After at least 2 years as a lead teacher, you know the importance of building a joyful classroom culture where students are held to high behavioral and academic expectations. See what this looks like in action at Brooke here You are professional, warm, and collaborative with students, families, and colleagues You are able to start in July of 2026 The community and students we serve are diverse, and we are committed to reflecting that diversity in our staff. We strive to have the most diverse applicant pool possible; to that end, we encourage individuals of all backgrounds to apply for any position at Brooke Charter Schools. By fostering a diverse and inclusive environment, we provide the best educational experience to prepare our students for a future reflective of the world in which we live.

The Department of Electrical and Computer Engineering of the Frank R. Seaver College of Science and Engineering at Loyola Marymount University (LMU) invites applications for a tenure-track position at the rank of Assistant Professor beginning fall of 2026. With a long history of excellence in electrical engineering, the department has recently expanded to include bachelor's and master's degree programs in computer engineering. We seek to hire an innovative faculty member to bolster these new degree programs, with an emphasis on any of the following areas: robotics, embedded systems, applied artificial intelligence. Faculty in our programs integrate teaching and research along with industry partnerships to educate future engineers that bring about innovation and uphold high standards of ethical and professional conduct. Small class sizes foster an inclusive environment and create a space for innovative teaching and research practices. State-of-the-art laboratory equipment makes possible meaningful hands-on learning and research experiences for our students. Internal funding provides unique opportunities for faculty to mentor graduate and undergraduate students in research. LMU is located on the west side of Los Angeles (L.A.) overlooking the Pacific Ocean at the heart of Silicon Beach, L.A.'s growing tech and startup hub. LMU is also in the middle of Southern California's aerospace industry. Academic programs and research laboratories of our department benefit from collaborations with our industry partners to bring about innovation and expertise development for students and faculty. To learn more about our department and its faculty, please visit https://cse.lmu.edu/department/electricalandcomputerengineeringdepartment/ . LMU provides comprehensive benefit offerings and robust support for faculty housing. For more information about our programs visit https://admin.lmu.edu/hr/totalrewards/benefits and https://resources.lmu.edu/facultyhousing/ . LMU's faculty resource guide is available at https://academics.lmu.edu/ofd/resources/ . Position Requirements: Academic Qualifications: Applicants must hold a Ph.D. in computer engineering or a closely related field, conferred no later than the position start date of August 15, 2026 Teaching Commitment: Ability to teach a range of computer engineering and electrical engineering courses on the undergraduate and graduate levels; Commitment to excellence in teaching our diverse student population and to foster a sense of belonging and cultivate a climate that supports inclusive excellence Research Development: Development of a thriving research program that involves mentoring undergraduate and graduate students through hands-on activities and securing external funding Service Participation: Active participation in service activities at the academic, professional, and/or community levels Preferred Areas of Expertise: Robotics: Including but not limited to autonomous systems, robotic control, and human-robot interaction Embedded Systems: Design and development of hardware-software systems, IoT applications, and real-time computing Applied Artificial Intelligence: AI-driven system design and implementation for computer engineering Opportunities and Support: Research Funding: Internal funding is available to support faculty research initiatives, providing opportunities to pursue innovative projects and collaborations. Interdisciplinary Collaboration: Opportunities for interdisciplinary collaboration within the college and across the university, leveraging LMU's broad academic community. Professional Development: LMU is committed to the ongoing professional development of its faculty, offering workshops, seminars, and funding for conference participation. Application Instructions: The following application materials must be submitted online by October 31, 2025, for full consideration: Cover Letter: Summarizing your qualifications for the position, including your teaching and research interests, and your commitment to inclusive excellence and LMU's mission Curriculum Vitae: Detailing your educational background, research accomplishments, work experience, and any leadership and service experience relevant to this position Teaching Philosophy Statement: Addressing your overall vision for your role as educator, past and/or potential contributions related to LMU's mission, and your commitment to fostering a sense of belonging and inclusive excellence for our students Research Statement: Outlining your research interests, current work, and future research plans, including how you plan to mentor students and pursue internal and external funding References: Contact information for at least three professional references who can speak to your qualifications for this position. Additional Information: Appointment Period: The appointment follows a 9-month faculty contract period from August to Mid-May of each academic year. How to Apply: Please submit your application via the following link: https://lmu.wd1.myworkdayjobs.com/en-US/Careers/job/Assistant-Professor---Computer-Engineering_R12327 #HERC# #HEJ# Faculty Regular Reasonable expected salary: $108,000.00 Please note that this position is not eligible for visa sponsorship now or in the future. 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.)

Description Scale the computer vision models that power grid intelligence for the next generation of electricity infrastructure. LineVision uses IoT cameras on transmission towers to detect equipment failures, vegetation risks, and grid conditions in real time. As a Computer Vision Co-Op, you'll own the ML models that analyze millions of images from the field, helping utilities prevent blackouts and maintain critical infrastructure. You'll be trusted to contribute from day one, learning from experienced data scientists and ML engineers while tackling real-world challenges in object detection, segmentation, and model optimization. Join our Boston team at LineVision-named a Built In Best Place to Work for three consecutive years. What will you do? Core Responsibilities and Key Performance Objectives Fine-tune and optimize computer vision models for detecting power grid conditions using data from IoT cameras deployed on transmission towers Establish and track model performance metrics as we scale from initial deployments to diverse field environments Research and prototype new CV approaches for detecting critical grid conditions Build and refine training datasets for object detection and segmentation tasks-from labeling and synthesis to quality control and pipeline optimization Build MLOps tools and evaluation frameworks that help the team iterate faster on model improvements Collaborate closely with senior data scientists and software engineers to develop your skills in building production computer vision systems Communicate technical results to diverse audiences from data scientists to business stakeholders, adapting your explanations to different technical backgrounds What do you need to succeed in this role? Strong Python programming skills and experience applying them to real problems Computer vision and ML fundamentals from coursework or personal projects Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) Scientific mindset: form hypotheses, validate results, and question unexpected outputs Strong communication skills with ability to explain technical concepts to non-technical audiences Rapidly test/evaluate SOTA models using modern libraries (e.g., Huggingface) Exposure to production ML systems or object detection/segmentation tasks Comfort using AI coding assistants (Claude Code, Codex, GitHub Copilot, etc.) to accelerate development Work Schedule The ideal candidate would be available for a minimum of 6 months, up to the full 8 month co-op term, working 40 hours a week. LineVision has a standard US holiday schedule, and up to a week of additional unpaid time off is permissible. Upon successful internship or co-op completion, you will be considered for a full-time position upon graduation. Compensation: $25 per hour What does joining LineVision mean for you? Impact. Your talent, time, and energy will critically impact our success in accelerating our mission of providing utilities with grid intelligence to enable affordable, reliable power. Ownership. You will hold broad responsibilities with high autonomy and trust in a communicative, collaborative, and fast-paced environment. Flexibility. You will be empowered to maintain work-life balance with trust-based PTO and a flexible hybrid work schedule. Real World Innovation. You will join a motivated and high-performing team working with cutting edge, patented technology to help solve key obstacles to meet the demands of an AI-powered future. Who we are… LineVision is a grid-enhancing technology company enabling electric utilities to deliver affordable, reliable power and accelerate the electrification of the global economy. Our grid intelligence platform delivers the most accurate, network-wide dynamic line ratings and enables safer, more reliable grid operations with a combination of optical sensors and advanced environmental modeling. LineVision's global customer base includes eight of the ten largest US utilities, including National Grid, Southern Company, and Exelon. We are LineVisionaries: We are Innovators: we light the way with tenacious creativity and do good work. We are Empowered: With high trust and high autonomy, the floor is yours, and the opportunity is ours. We are Welcoming: Come as you are, our doors are open. We are better together. We are Trusted Partners: We elevate our customer champions through shared thought leadership. We deliver on commitments. We are All In: We are building a community of passionate individuals who want to dent the universe. At LineVision there's no such thing as a "perfect" candidate. We are looking for exceptional people who want to make a positive impact through their work and facilitate an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day. Meet our team, understand our mission: https://www.linevisioninc.com/about-us #LI-DNI

JOB TITLE Adjunct Faculty- Computer Science LOCATION Worcester DEPARTMENT NAME Computer Science- JM DIVISION NAME Worcester Polytechnic Institute- WPI JOB DESCRIPTION SUMMARY Worcester Polytechnic Institute (WPI) is seeking part-time adjunct faculty to teach day, evening and/or online classes for the Department of Computer Science. Part-time faculty positions are created to provide an available applicant pool for the department. Positions will be filled on an as needed basis. Start dates will vary by course and semester. Qualified applicants will be contacted by the academic department. Your application will remain in the pool until the posting closes. If you wish to be considered for positions beyond that date, then you must reapply. JOB DESCRIPTION There is a potential need for both undergraduate and graduate courses to be taught on campus, off campus in a corporate setting or online. The goal is to integrate a successful applicant into related activities at WPI with teaching assignments matched with the background and availability of the applicant. We have specific interest in areas such as Foundations of Computer Science, Algorithms, Software Engineering and Object-Oriented Design, Interface Design and Artificial Intelligence. In addition, we have ongoing interest in introductory computer science courses where our current introductory courses emphasize program design using languages such as Racket/Scheme, Python, Java and C/C++. An ideal applicant will hold an advanced degree in Computer Science or related discipline with significant practical experience in the relevant area, as well as having successful undergraduate or graduate teaching experience. Abilities to teach in other areas is also valued. Compensation: $7,500 - $7,850 per course FLSA STATUS United States of America (Exempt) WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

Provides quality education and maintains high standards of academic excellence in teaching assigned courses in the discipline. The Adjunct hybrid faculty roles teach assigned courses in person and asynchronously online. This role also maintains office hours as assigned. NOTE: Applications must include copies of ALL unofficial transcripts to receive full consideration. Campus Location: Washington, D.C. Strayer Campus Address: 1133 15th St NW #200, Washington, DC 20005 Essential Duties & Responsibilities: Are you looking for a rewarding career where you can change lives? Strayer University is seeking a dynamic Adjunct Faculty member to join our academics team. We are currently in search of a passionate professor for undergraduate level Computer Information Systems class for the upcoming Winter quarter, starting January 5th in a hybrid format. The hybrid format is described as teaching the course in both the in-person and online modalities. This role requires 11 in-person meeting sessions for 2 hours every week held at a predetermined scheduled time (day/evening) at a specific Strayer University Campus. The balance of the course is instructed asynchronously online. Strayer Adjunct Faculty are not just instructors; they are also coaches and mentors. Our faculty members strive to ignite a life-long love of learning in our students and to be flexible with their diverse learning styles. We believe in a strong faculty-student relationship and building a community in the classroom. Teach courses as assigned from a pre-designed curriculum and utilize your professional expertise to provide high-quality instruction. Enhance the strength and effectiveness of the curriculum using technology and videos. Arrive on-campus at least half an hour prior to the start time of in-person sessions per week during the academic quarter. Utilize the online learning platform to enrich the student learning experience for the online component of the course. Be available to students via email, phone, text, and office hours to ensure students receive quality feedback in a timely manner to support their academic success. Establish high standards and ensure students understand how they will be evaluated. Adhere to University policies and procedures. Attend faculty meetings and workshops or training as required. Job Skills: Demonstrated knowledge of academic technology. Proficient with Microsoft Office (Excel, PowerPoint, etc.) software and overall computer skills. Demonstrated knowledge of academic evaluation. Proficiency in oral presentation skills, planning, and organizing of course objectives. Must have strong computer skills (Excel, PowerPoint, etc.). Excellent oral and written communication skills. Effective time management skills. Work Experience: Teaching experience at the college level and online teaching experience are strongly preferred. 5 years of professional experience in Computer Information Systems, Information Technology, Computer Technology, etc. required. Some professional experience in Cybersecurity, Information Assurance, IT Security, Computer Security or Forensic Management is required. Education: Doctorate degree in Computer Information Systems, Information Technology, Computer Technology, Cyber Security, etc. required EC-Council CHFI or TestOut equivalent required Certificates, licenses, and registrations: Professional certification in discipline specialty (if applicable). Other: Must be able to travel weekly to required location(s). Must be able to lift 25 lbs. Typical office setting. Mobility within the office including movement from floor to floor. Travel via plane, car, and metro may be required to perform this job. Must be able to work more than 40 hours per week when business needs warrant. Access information using a computer. Effectively communicate, both up and down the management chain. Effectively cope with stressful situations. Strong mental acuity. Regular, dependable attendance and punctuality are essential functions of this job. Other essential functions and marginal job functions are subject to modification. Who we are Work is changing. The economy is rapidly transforming. We're innovating education and transforming learning to help people prepare for the workforce - today and in the future. Our INNOVATION is powered by the belief that today's workforce cannot be supported by yesterday's education. To be RELEVANT now and in the future, we need to transform learning to create an experience that delivers RESULTS. About- Careers- Who We Are, Strategic Education, Inc. Leadership behaviors At Strategic Education, Inc., our leadership behaviors guide everything we do and the culture we're building. They unite us in delivering on our mission. They reflect the way we approach our work and treat each other. They inspire us to do the right thing for our students, as well as for our employees. They represent who we are and what we aspire to be. About- Careers- Leadership Behaviors, Strategic Education, Inc. #LI-LJ1 Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position. $2,300-$2,600 is the expected starting pay per online assignment for this position per quarter and $3,000 is the expected starting pay per on campus assignment for this position per quarter. If your location is near a campus, on campus teaching may be required. Current and future assignments are based on the additional factors outlined below. SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. Careers- Our Benefits, Strategic Education, Inc SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. Strayer University Adjunct Faculty are compensated based on the number and type of course(s) that are taught in a given quarter. Currently, compensation for courses ranges from $2,300 - $3,100. If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

ABOUT SIMMONS Located in Boston's historic Fenway area, Simmons University has a strong tradition of empowering women and challenging traditional gender roles. Simmons was founded for equality 125 years ago as one of the first higher education institutions dedicated to helping women become leaders. Today, our university continues to grow and evolve and now offers Boston's only women's undergraduate program and graduate programs open to all. You're joining our community at an especially exciting time as we continue to innovate for the future. Simmons recently launched a six-school academic structure that leverages our expert faculty and longstanding expertise in professions that make our communities stronger. In addition, we continue to highlight our high-value education proposition that is delivering greater ROI to students and putting them on the fast track to career growth and success. You'll find that people who work here truly believe in our mission of preparing students to become social justice-oriented leaders who excel in their professions and their communities. This commitment and pride make for a dynamic workplace. As a university that values 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. Compensation: $6,300 for lectures and $2,100 for labs (if applicable) In accordance with applicable pay transparency laws effective October 29, 2025, Simmons University is committed to pay equity, transparency and clear communication throughout the hiring process. This is non-benefits eligible position. Actual compensation will be based on factors such as experience, education, skills, equity, and external market benchmarks that help guide compensation decisions. Our compensation philosophy is centered around a comprehensive package that includes pay, retirement savings, and other offerings that can be seen here, as well as work-life balance initiatives such as flexible hours and remote work opportunities. We are committed to offering a package that empowers individuals to thrive in their roles, contribute meaningfully, and lead with confidence. 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 AutoCAD Drafter will be responsible for developing isometric piping drawings with the use of AutoCAD or related program, performing data entry duties, and drafting revisions to existing documentation.MAJOR RESPONSIBILITIES/ACTIVITIES: Advanced skills in 2D software experienceWorking knowledge of VLISP and VLIDEAble to create AutoCAD toolbars and ribbons as needed per projectExceptional computer skills including: Excel, Word, Access & OutlookExperience in reading and interpreting P&ID's, PFD's, Piping Layouts, and Isometric drawings and specifications.Superior organization and communication skills.Senior level drafting position performs difficult and complex work assignments involving independent judgment to determine a course of action consistent with established functional and organization's policies and goals. Ability to lead and/or train lesser seasoned individuals. Familiar with basic engineering and/or design/drafting concepts. Able to complete tasks in accordance with project procedures and applicable codes and/or standards. Able to discuss routine technical problems and communicate effectively with immediate supervisor and other project personnel.May lead a small project or a phase of a large project performing project discipline administrative tasks including: developing and monitoring manpower and schedule requirements, establishing discipline design requirements, maintaining design and drafting data, and preparing work share packages. Ensures project discipline deliverables for technical quality, accuracy and compliance with Company standards.Able to utilize advanced PC, 2D CAD, and 3D tools (if applicable), and other applicable hardware and software to perform duties. Proficient in drafting and able to utilize tools effectively as well as provide training and conduct simple checking as needed. Ability to meet deadlines and manage priorities. Strong written and verbal communication skills are essential to effectively teach what they know to other employees.Commitment to customer service and ability to guide department personnel in partnership with and during manager's absence is essential. Ability to maintain confidential information.Able to lead and/or train project teams. Perform difficult drafting/design and/or technical support assignments, requiring the application of advanced drafting and fundamental drafting techniques, in accordance with established standards and procedures.Typically will regularly interface with departmental staff and middle and upper management, and frequently with outside customers.Willingness to travel or to accept field assignmentsGeneral attributes required of all Mistras employees include: Commitment, Customer Focus, Dealing with Change, Drive for Results, Integrity and Trust, and Basic Leadership Skills. MINIMUM REQUIREMENTS: Degree (Drafting/CAD), or equivalent experience.PCMS experience a plus, but not required.A minimum of 1-6 years piping experience, including a thorough understanding of routing, and piping layout. Prior experience with Isometrics is a plus. ESSENTIAL PHYSICAL FUNCTIONS: Frequent lifting up to 30 lbs. This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. MISTRAS Group, Inc. is committed to equal employment opportunity. Employment decisions including initial hiring and all matters involving the terms and conditions of employment will be made without regard to any protected class under applicable law. If hired, the employment relationship is "At-Will," which means that employment can be terminated at any time, and for any reason, at the option of either the Company or the employee. Please direct questions about these policies to a MISTRAS Group, Inc. Human Resources representative.By submitting & signing , I hereby understand and agree to the terms and conditions of employment as outlined above. I certify that the responses and information provided in this application (including any other supporting documentation such as a cover letter, resume, or transcript) are true and accurate to the best of my knowledge. I understand that misrepresenting or omitting information requested is cause for dismissal at any time, without notice. I hereby give the Company permission to contact schools, previous employers (unless otherwise indicated), references, and others disclosed in my application.Note to Applicants:Smoking is prohibited in all indoor areas of the Company. Employees may use designated smoking areas (if established) in accordance with applicable state and local law.Rhode Island Applicants: The Company is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island, and is therefore covered by the state's workers' compensation law.Initial (if applicable): Massachusetts Applicants: I understand that 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.Initial (if applicable): Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAPH OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.#LI-KM1Mistras Group, Inc. is an Equal Opportunity Employer/Veterans/Disabled:

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking a passionate and skilled Computer Vision Engineer to design and implement cutting-edge computer vision systems. Your work will focus on in-cabin scenarios, including, but not limited to: detection and classification of occupants and objects, understanding and analyzing human actions and behaviors, and perceiving in-cabin ambience. Key Responsibilities Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms. Create and curate training datasets; iteratively refine data based on model performance and project requirements. Implement and optimize distributed training frameworks to accelerate model development. Collaborate with deployment teams to enable efficient edge and on-device model deployment. Stay current with academic research and integrate novel algorithms into production workflows. Coordinate cross-functional efforts across teams and departments. Minimum Requirements Master's or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning. Hands-on experience in model development (CV/VL models) and algorithm optimization. Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques. Strong collaboration and communication skills. Ability to read, interpret, and implement research papers effectively. Preferred Qualifications Experience coordinating across multiple teams. Familiarity with large-scale model pretraining, quantization, or distributed training. Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects. Experience with edge device deployment or applications in autonomous driving. The base salary range for this full-time position is $215,280-$364,320 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

MICRO CENTER is the nation's leading computer and electronic device big box retailer! Our technology superstore has an industry-leading 40,000+ selection of premier computer products and the most knowledgeable staff in the business. Passion, Energy & Commitment describe life at Micro Center. We are passionate about customer service and developing long-term customer relationships. We are looking for those that are committed to these same values. We are currently seeking self-motivated, results-driven RETAIL COMPUTER TECHNICIANS, starting at $19/hour base pay with productivity incentives to increase hourly rates up to $35.50. If you have a passion for computers and want to have a high earning potential based on your productivity, then Micro Center is the place for you! You'll be spending up to half your time at the Service Counter, where you will be easing customer concerns by walking them through their comprehensive service options that will result in repeat customers for life, all while having the opportunity to earn uncapped commissions. The rest of your time will be spent in the shop diagnosing and repairing various computer devices and providing constant communication to your customers regarding their repair status. Click here to view our job video MAJOR RESPONSIBILITIES Provide in-person consultations and troubleshooting to customers at the service counter on a variety of computers, computer-related equipment and other retail products sold in the store Recommend various service solutions including, but not limited to, data backups, anti-virus, extended warranties, and support subscriptions Identify, diagnose, and document hardware failure(s) or software problems on a variety of electronic devices including, but not limited to, desktops, laptops, mobile phones, TVs, and monitors Assemble custom computers sold by our expert build-your-own (BYO) sales team Understand and utilize technical manuals and support resources while maintaining appropriate technical certifications and vendor certifications, while keeping up to date on retail products and current technologies Maintain a cash till, handle customer transactions, and maintain the department by ensuring a clean work area is maintained and inventory is accurately tracked Provide timely, complete, and accurate information directly to customers via face-to-face, telephone, text, and email communication regarding their service event on a constant basis EDUCATION & EXPERIENCE: High School diploma or equivalent with one-year related computer service repair or technical customer service experience strongly preferred CompTIA A+ certification or Apple ACMT and ACiT certifications, or the ability to be certified within 90 days of hire. *Apple certifications highly desirable Excellent communication & interpersonal skills combined with ability to multi-task and adjust priorities Physical requirements: lift up to 50 lbs., stand for prolonged periods of time Shifts include hours before and after the store is open to the public and may also include mornings, nights, weekends and holidays MICRO CENTER OFFERS EXCEPTIONAL BENEFITS: Medical, Dental and Vision Benefits Coverage for Regular Full-Time Associates Employee Discount that includes a Friends & Family Discount Program Tuition Reimbursement & Education Discounts Paid Time Off for Regular Associates 401K Plan with Company Match Esteemed Vendor & Company Job Training Career Advancement Opportunities Micro Center is a place where your future success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated individuals who work hard to advance their personal growth and careers. Join our team and see how hard work, loyalty, competitive spirit and unwavering commitment to the customer can take you and your career to new places. Micro Center is an Equal Opportunity Employer.

Provides quality education and maintains high standards of academic excellence in teaching assigned courses in the discipline. The Adjunct hybrid faculty roles teach assigned courses in person and asynchronously online. This role also maintains office hours as assigned. NOTE: Applications must include copies of ALL unofficial transcripts to receive full consideration. Campus Location: Chamblee, GA, Strayer Campus Address: 2965 Flowers Rd S Ste 100, Chamblee, GA 30341 Essential Duties & Responsibilities: Are you looking for a rewarding career where you can change lives? Strayer University is seeking a dynamic Adjunct Faculty member to join our academics team. We are currently in search of a passionate professor for undergraduate level Computer Information Systems class for the upcoming Winter quarter, starting January 5th in a hybrid format. The hybrid format is described as teaching the course in both the in-person and online modalities. This role requires 11 in-person meeting sessions for 2 hours every week held at a predetermined scheduled time (day/evening) at a specific Strayer University Campus. The balance of the course is instructed asynchronously online. Strayer Adjunct Faculty are not just instructors; they are also coaches and mentors. Our faculty members strive to ignite a life-long love of learning in our students and to be flexible with their diverse learning styles. We believe in a strong faculty-student relationship and building a community in the classroom. Teach courses as assigned from a pre-designed curriculum and utilize your professional expertise to provide high-quality instruction. Enhance the strength and effectiveness of the curriculum using technology and videos. Arrive on-campus at least half an hour prior to the start time of in-person sessions per week during the academic quarter. Utilize the online learning platform to enrich the student learning experience for the online component of the course. Be available to students via email, phone, text, and office hours to ensure students receive quality feedback in a timely manner to support their academic success. Establish high standards and ensure students understand how they will be evaluated. Adhere to University policies and procedures. Attend faculty meetings and workshops or training as required. Job Skills: Demonstrated knowledge of academic technology. Proficient with Microsoft Office (Excel, PowerPoint, etc.) software and overall computer skills. Demonstrated knowledge of academic evaluation. Proficiency in oral presentation skills, planning, and organizing of course objectives. Must have strong computer skills (Excel, PowerPoint, etc.). Excellent oral and written communication skills. Effective time management skills. Work Experience: Teaching experience at the college level and online teaching experience are strongly preferred. 5 years of professional experience in Computer Information Systems, Information Technology, Computer Technology, etc. required. Some professional experience in Cybersecurity, Information Assurance, IT Security, Computer Security or Forensic Management is required. Education: Master's level degree in Computer Information Systems, Information Technology, Computer Technology, etc. required CompTIA Security+ or TestOut equivalent required Certificates, licenses, and registrations: Professional certification in discipline specialty (if applicable). Other: Must be able to travel weekly to required location(s). Must be able to lift 25 lbs. Typical office setting. Mobility within the office including movement from floor to floor. Travel via plane, car, and metro may be required to perform this job. Must be able to work more than 40 hours per week when business needs warrant. Access information using a computer. Effectively communicate, both up and down the management chain. Effectively cope with stressful situations. Strong mental acuity. Regular, dependable attendance and punctuality are essential functions of this job. Other essential functions and marginal job functions are subject to modification. Who we are Work is changing. The economy is rapidly transforming. We're innovating education and transforming learning to help people prepare for the workforce - today and in the future. Our INNOVATION is powered by the belief that today's workforce cannot be supported by yesterday's education. To be RELEVANT now and in the future, we need to transform learning to create an experience that delivers RESULTS. About- Careers- Who We Are, Strategic Education, Inc. Leadership behaviors At Strategic Education, Inc., our leadership behaviors guide everything we do and the culture we're building. They unite us in delivering on our mission. They reflect the way we approach our work and treat each other. They inspire us to do the right thing for our students, as well as for our employees. They represent who we are and what we aspire to be. About- Careers- Leadership Behaviors, Strategic Education, Inc. #LI-LJ1 Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position. $2,300-$2,600 is the expected starting pay per online assignment for this position per quarter and $3,000 is the expected starting pay per on campus assignment for this position per quarter. If your location is near a campus, on campus teaching may be required. Current and future assignments are based on the additional factors outlined below. SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. Careers- Our Benefits, Strategic Education, Inc SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. Strayer University Adjunct Faculty are compensated based on the number and type of course(s) that are taught in a given quarter. Currently, compensation for courses ranges from $2,300 - $3,100. If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking a passionate and skilled Senior Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond. Key Responsibilities: Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms. Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation. Develop and integrate custom inference kernels targeting GPU or custom AI accelerators. Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies. Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration. Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines. Minimum Requirements: Master's or Ph.D. in Computer Science, Electrical Engineering, or related field. Open to recent graduates. Strong coding skills in C++ and Python with a focus on performance and scalability. Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM. Familiarity with CUDA programming and parallel computing principles. Solid understanding of model inference workflows and system-level performance tuning. Experience in quantization-aware training or post-training quantization. Effective communicator and collaborative team player. Preferred Qualifications: Hands-on experience with deploying vision-language or large multimodal models. Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization. Experience in autonomous driving, robotics, or edge AI applications. Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR). Background in system profiling, latency modeling, or compiler-level optimization. What do we provide: A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Department Mechanical Engineering Primary Campus University of Kansas Lawrence Campus Job Description 95% - Provide assistance/guidance for ME228 students in the ME computer laboratory and/or class laboratory settings during set time periods negotiated with course instructors. 5% - Meet with course instructors to give feedback on ME228 student progress and needs. Req ID (Ex: 10567BR) 31668BR Disclaimer The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for Civil Rights and Title IX, civilrights@ku.edu, Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY. Work Schedule Varies; not to exceed 20 hours weekly. Contact Information to Applicants Kaitlyn Burton kaitlyn.burton@ku.edu Required Qualifications Current KU Mechanical Engineering undergraduate student. Demonstrated success in ME228 and ME208 at KU by a grade achieved of B or higher. Advertised Salary Range $15.00 per hour Preferred Qualifications Student in academic good standing. Position Overview The person in this position will assist students in ME228 to understand the fundamental principles of MATLAB and answer their questions on how to best achieve success in the class. Reg/Temp Temporary Application Review Begins 01-Dec-2025 Anticipated Start Date 12-Jan-2026 Additional Candidate Instruction A complete application consists of the online application, cover letter, and resume. Only complete applications will be considered. Position Requirements During the semester term of the appointment, the student hourly must be enrolled in no fewer than 6 credit hours. For summer periods the student hourly must: (1) have been enrolled in no less than 6 hours in the past spring semester or (2) be pre-enrolled in the upcoming fall semester in no less than 6 hours or (3) be enrolled in summer session or (4) be admitted to study in the upcoming fall semester. Student Hourlies may be undergraduate or graduate students. (Exceptions granted for GRA/GTA/GA appointments DO NOT apply to Student Hourly appointments). Employment Conditions (1) Student employees are not eligible for remote work arrangements unless an exception is approved by the unit leadership and HR. (2) This is an hourly/non-exempt position. A student employee cannot hold an hourly/non-exempt position and a salaried/exempt graduate or undergraduate position (GRA/GTA/GA/RUA/RGA) concurrently.

Who we are 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. Who you are As a Machine Learning Engineer at Metropolis, you will accelerate recognition commerce through data innovation. You will be a key leader in Engineering, responsible for designing and building the robust generative data engine and intelligent algorithms that fuel our ML models. Your mission is to bridge data and models through automation, creating the scalable foundation that underpins the predictive, personalized experiences defining the future of the built world. What you'll do Work with the machine learning team to perform state-of-the-art research, train, and optimize machine learning algorithms Design, implement, and maintain active learning algorithms and generative vision models to ensure cost efficient data sampling and learning Maintain and revisit innovative methodologies to curate high quality data and annotations Design, implement, and maintain the machine learning data pipelines and infrastructure Work with technologies like AWS, SQL/NoSQL databases, Kafka, Airflow, and NVIDIA Triton, ensuring efficient and effective use of these tools Collaborate with other Engineering and Product teams to define requirements and facilitate the smooth deployment of software into production Play a vital role in the entire development lifecycle, from concept and requirement identification to implementation Implement best practices in automation, testing, and deployment to foster rapid feature/model development and release Foster a culture that views bugs and production issues as opportunities for improvement Contribute to the hiring and cultural development within Metropolis Engineering Ensure high availability and scalability of Machine Learning systems Collaborate with partners to integrate their products seamlessly into the Metropolis platform What we're looking for MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience 3+ years of experience in machine learning and software engineering, with expertise in computer vision and multi-modal models Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT) Strong experience with cloud services, preferably AWS Familiarity with Machine Learning model serving infrastructure and best practices Knowledge of transactional and analytical database technologies Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins) Excellent communication skills, capable of presenting complex technical information clearly While not required, these are a plus: Experience in high-growth, innovative environments 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 $150,000.00 USD to $180,000.00 USD 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-nM1 #LI-Onsite Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Summary Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary: Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern or co-op! You'll build professional and technical skills in an aerospace systems & defense role working on challenging, real-world problems to design aerospace systems for commercial and military applications & support through service life. Build relationships with interns/coops and leaders and prepare for a potential full-time position after graduation in one of our fantastic leadership programs or a direct hire opportunity. You will gain broad exposure to the engineering field with an array of opportunities ranging from design & analysis to working hands-on with aerospace systems. Ultimately, you'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Essential Responsibilities: An Aerospace Systems & Defense intern/co-op may experience work in the development of engine controls, navigation, & guidance systems; gas turbine engine components; electrical power systems; mechanical systems; vehicle health & data management systems; mission systems; computing systems; and platform systems integration. Responsibilities may include design, analysis, development, and testing, writing software requirements, software testing, simulation, tool development and product/program support. Qualifications/Requirements: Due to the nature of our projects, US Citizenship is required. Minimum 3.0 cumulative GPA off a 4.0 scale without rounding. Attending a full time matriculated and nationally accredited baccalaureate or graduate program in engineering (degrees accepted: Computer Engineering, Electrical Engineering, Electrical & Computer Engineering). Willingness and ability to work in the United States; primary locations are: Grand Rapids, MI; and Clearwater, FL. Reliable transportation, many of our sites do not have public transportation available. Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Due to the nature of our projects, US Citizenship is required. Desired Characteristics: A solid commitment to a career in technology and a passion for engineering Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with honesty, contributes constructively Focused: quick learner, strategically prioritizes work, committed, and takes initiative Leadership ability: strong communicator, decision-maker, and collaborative teamwork Problem solver: analytical-minded, challenge existing processes, critical thinker Strong knowledge of computer and Microsoft products Proficiency in at least one programming language Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes