Auto-apply to these computer software jobs

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:

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.)

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.

Description DecisiveInstincts LLC is a JV (joint venture) between ActioNet and Akamai Technologies. We are looking for an experienced Computer Scientist/Project Manager (PM) to oversee the execution of a major IT services contract supporting the FBI. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center. Location: On Site - Huntsville, AL Clearance: Top Secret (TS)/SCI - CI Polygraph Estimated Start Date: October 2025 Responsibilities: Possesses and applies comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. Collaborates with CT investigators, analysts, and professional staff, often directly engaging non-technical personnel to understand functional needs /issues/gaps, recommend solutions, and develop technically feasible tools in a timely manner. Builds and/or supports preparation of basic technical, business, and end user documentation. As a strong, individual contributor: identifies and recommends remedies, and/or implements solutions which enhance existing software and systems capabilities, performance, and security and/or introduce efficiencies or automation into stakeholder workflows. Performs programming (e.g. Python), code refactoring, systems operations, and/or design. Evaluates COTS, GOTS, OSS, and other software and systems to implement algorithmically complex data and technology solutions. Contributes to the technical work program of one or more projects. As the On-Site Lead provides thought leadership and technical and analytical expertise to the Government and vendor project team. Ensures vendor project team adherence to quality standards. Manages the integration of vendor tasks, track project progress, and conduct project analysis resulting in appropriate metrics when requested. Required Qualifications: Minimum Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree Demonstrate a high level of proficiency in the following: scoping, planning, and completing full lifecycle engineering projects; and managing development and implementation of projects assigned to contractor staff. Demonstrate expert knowledge in one (1) or more of the following areas: User interface/User experience (UI/UX) ,Front-end engineering, API development, and/or Data engineering. Four (4) years of relevant P/PM experience Preferred Experience: Past experience: Managing, communicating and contributing to enterprise architecture efforts, engineering trade-off analysis and feasibility studies, proof-of-concept prototypes to explore technical implementation options and issues, engineering reviews, technical design and implementation bringing commercial best practices to bear. Demonstrate a high level of proficiency as a Program/Project Manager (P/PM) with Federal Acquisition Certification (FAC)-P/PM and/or Project Management Professional (PMP) Certification. ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. With 25+ years of stellar past performance, ActioNet is the premier Trusted Innogrator! Core Capabilities: Advanced and Managed IT Services Agile Software Development DevSecOps Cybersecurity Health IT C4ISR & SIGINT Data Center Engineering & Operations Engineering & Installation Why ActioNet? ActioNet is honored to be recognized as a Top Workplace for the twelfth consecutive year (2014-2025), a testament to our unwavering commitment to excellence and innovation. With an impressive 98% customer retention rate, we are driven by the inspiring missions of those we serve. Our dedicated teams are empowered to deliver exceptional results that safeguard the nation's security, enhance public health, and promote overall well-being-because at ActioNet, mission success is personal. At ActioNet, our Passion for Quality is at the heart of everything we do: Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters. Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence. Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation. What's in It For You? As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference? ActioNet is an equal-opportunity employer and values diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Full-Time Employees are eligible to participate in our ActioNet's Benefits Program: Medical Insurance Vision Insurance Dental Insurance Life and AD&D Insurance 401(k) Savings Plan Education and Professional Training Flexible Spending Accounts (FSA) Employee Referral and Merit Recognition Programs Employee Assistance and Identity Theft Protection Paid Holidays: 11 per year Paid Time Off (PTO) Disability Insurance

This is an opportunity for recent graduates from an undergraduate programs in engineering and professional fields. The position will begin in January 2026. Program participants will experience three, 6 month rotations that are selected based on their education backgrounds, professional interests aspirations. Time spent in the program is full time employment with pay and benefits. After successful completion of the program, participants are transitioned into full time regular position within the organization using the similar selection process based on education, experiences, and professional interests. The program is open to recent undergraduate students with degrees in one or more of the following areas: Electrical Engineering Computer Engineering Computer Science Engineering Mechanics The program participants will go through rotations in a combination of the following areas: Design Manufacturing Test Reliability Industrial Controls Information Technology The engineering and professional rotational programs are aimed at best in class talent development through: Challenging Assignments Formal mentoring Training and Development Post program job assignments

About Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world's leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation's biggest challenges. About You: You're a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment-designing systems that can see, understand, and interact with the physical world. You're comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab. Responsibilities: Develop and implement object detection and identification algorithms for real-time applications. Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors. Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware. Develop tools and processes for camera calibration, synchronization, and data acquisition. Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems. Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability. Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM). Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration). Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs). Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA). Experience developing in C++ and/or Python for high-performance vision applications. Strong understanding of camera hardware and imaging pipelines. Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment. Nice to Haves: Experience with ROS/ROS2 integration for robotic vision. Familiarity with real-time embedded systems or GPU optimization. Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception. Background in calibration automation and large-scale data collection pipelines. This position is based on-site at Merlin HQ in Boston, MA. Once you're here, you'll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed. Our goal is to create an environment where you can thrive both professionally and personally Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background, and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected] Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy. You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc... Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in C++ and Python. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role. At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview. About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! Required Skills: BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience 5 or more years of related work experience Experience with OpenCV and Open3D Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow Strong knowledge of Modern C++ and Python Experience using profilers and debuggers to optimize code Experience building and maintaining production code Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others Strong academic background and knowledge of ML and academic papers Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines Ability to trace and solve problems across interconnected systems, pipelines and applications Experience with Git and modern CI pipelines Nice to haves: Experience with Docker and Kubernetes Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis. Equal Opportunity Employer 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. All About You The Department of Computer Science in the School of Science and Engineering at Saint Louis University is seeking part-time adjunct faculty on an on-going basis to teach undergraduate and graduate courses in computer science. Qualified applicants will be reviewed and placed in a pool to be contacted as openings become available. To teach at the undergraduate level, faculty must hold a degree in computer science or equivalent industry experience relevant to the subject of the course. To teach at the graduate level, faculty should hold an MS or PhD in computer science or a closely related field, or a Bachelor's degree in CS or a related field combined with at least 5 years of relevant professional experience. For a list of possible classes that we offer, please see: https://cs.slu.edu/academics/courses The Computer Science Department is a fast-growing unit that offers a range of undergraduate and graduate degrees in Computer Science, Software Engineering, and Artificial Intelligence, as well as supporting joint programs in Data Science and in Bioinformatics and Computational Biology. Our department faculty are renowned scholars and educators who help design, lead, and support these programs. They design and deliver the educational experience, and are the principal investigators in cutting-edge research. Collectively the faculty serve in leadership positions at professional organizations, publish and present their work in the top national and international venues, have created and presented innovative educational techniques, and have authored textbooks used by hundreds of institutions worldwide. Saint Louis University is a Catholic, Jesuit institution dedicated to student learning, research, healthcare, and service. The newly formed School of Science and Engineering, founded in 2022, is interdisciplinary by design - bringing together our engineering departments (Aerospace and Mechanical, Biomedical, Civil, and Electrical and Computer Engineering) with our Aviation, Computer Science, Chemistry, Physics, and Earth and Atmospheric Sciences departments. The School offers a wide range of graduate and undergraduate degrees, and our faculty hold funding from sources such as the National Science Foundation, National Institutes of Health, the Alfred P. Sloan Foundation, Siemens, and the Missouri and Illinois Departments of Transportation." Vaccine Protocol Saint Louis University requires COVID-19 vaccinations for all students, staff, and faculty who are physically present on our St. Louis campuses. As a prospective and/or a new employee at Saint Louis University, you will be/are required to comply with the University's vaccination protocol. Proof of full vaccination is required before the start of employment in order to work at Saint Louis University. If you are not vaccinated, you are required to begin the vaccination process at the time of your first day of employment and submit proof of full vaccination within 30 days of your start date. Exemptions may be granted on the grounds of religious beliefs or medical circumstances. Failure to comply with the vaccine requirement within 30 days of an employee's start date will result in termination of the employment. Proof of vaccine will be submitted through an online portal made available to you during your Workday onboarding tasks. Function Faculty - Adjunct Scheduled Weekly Hours: 10 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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 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.

About Nimble Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team. Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce. We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors and Nimble’s Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! Join us to leave your mark on the future of robotics, AI, and logistics! Link: Introducing Nimble – Intelligent Fulfillment Robots at Scale Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes. Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others. Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day. Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission. About the Role We are looking for a Computer Vision Engineer (ReID + Tracking) to join our growing robotics team. You will play a critical role in working with our world-class cross-functional team to help develop and build the world’s most advanced robotic systems for the world’s biggest robotics opportunity! Responsibilities Own end-to-end development of Re-ID embeddings and multi-object tracking (MOT): data pipelines, model training, association logic, and real-time inference. Build object tracking models that are robust to occlusions, and similar objects. Optimize for production: quantization, TensorRT/ONNX export, Jetson/edge deployment, and monitoring for drift and accuracy. Partner with robotics, controls, and software teams to verify each pick and pack, ensuring order accuracy. Qualifications Bachelors, Masters, or PhD in Computer Science or related field, or equivalent experience 2+ years of industry experience Deep experience with object reidentification, multi-object tracking. Proven track record shipping CV systems from prototype to production (MLOps, dataset curation, continuous evaluation, A/Bs). Hands-on optimization skills for real-time performance on GPUs/edge accelerators. Culture: We embrace challenges and strive to make the impossible possible each day. We’re not in this to do what’s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We’re ambitious, we’re gritty, we’re humble and we’re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Press: Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program

Computer Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Join a dynamic team supporting the customer's launch site. Responsibilities: Receives tracks and responds to problems reported by customers (e.g. problems impacting multiple users, such as a platform outage). Communicates with customers, IT service providers, and technical components to fully understand problems. Research problems by accessing internal and external knowledge bases (vendor websites, internal engineering websites, and vendor documentation) and/or discussion with peers. Develops and recommends alternatives or long-term solutions to recurring problems. Defines, collects, and implements customer computer engineering requirements for multiple small and mid-scale projects or for a single large-scale project. Designs and develops engineering solutions to meet customer requirements (e.g. to include writing, maintaining, testing, integrating, and implementing software, hardware, and associated documentation). Provides alternative design options to meet customer requirements. Determines hardware and software components. Builds computing environment infrastructure. Develops procedures for installation of hardware, software, or network components. Required: Bachelor's Degree and 5+ years of experience or a minimum of 10 years of experience. Must hold an active Top Secret SCI clearance with polygraph. Security+ and/or other DOD 8570 Certification. Desired: Experience working with Windows, CISCO, Juniper, Linux environments ____ 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. The proposed salary range for this position is: $82,700 - 173,900 USD 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.

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: Electrical Engineering, Electrical & Computer Engineering, 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

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 Metropolis is looking for a Staff Computer Vision Engineer to lead the design and development of perception algorithms and systems that power Metropolis's "AI for the Real World". We are developing a broad suite of computer vision systems that span both edge and cloud environments, and enable checkout-free experiences in a variety of applications. As a senior technical leader, you will drive the optimization, integration, and validation of advanced perception models for real-time deployment on edge and cloud platforms. This will include solving complex challenges in object detection, tracking, and recognition, and may span video analytics and multi-modal systems. You will work closely with cross-functional teams throughout the entire perception system lifecycle, from development to rigorous testing, while driving innovations in computer vision and machine learning that directly enhance the accuracy, reliability, and performance of applications core to our company. Excellence in this position involves leading innovation in computer vision, delivering impactful results, and fostering growth through technical leadership and mentorship within the ML team. You must be able to thrive in a entrepreneurial environment, working collaboratively in a fast-paced environment that often has multiple stakeholders. You won't be afraid to break new technological ground at Metropolis, and are more than willing to roll up your sleeves, dig in, and get the job done. If you have a background in computer vision and perception, and are excited by developing systems that go into the real world to solve real problems, please reach out! What you'll do Architect and develop advanced perception algorithms for tasks such as object detection, tracking, semantic segmentation, and scene understanding. Take initiative to identify gaps, bottlenecks, and opportunities in perception performance and system design-then drive solutions from concept through deployment Define and implement key metrics and KPIs to rigorously evaluate perception system accuracy, robustness, and scalability across diverse real-world conditions Drive system-level debugging and root cause analysis for perception failures in production environments Collaborate with hardware, ML, and software engineering teams to improve data pipelines, model deployment frameworks, and sensor configurations Mentor and lead by example, promoting best practices in scalable architecture, model evaluation, and engineering excellence within the computer vision team Research, prototype, and integrate new machine learning or deep learning approaches applicable to perception problems Participate in cross-team initiatives to improve system reliability, labeling quality, simulation-based validation, optimizing perception models and production-readiness of perception models Stay ahead of the curve by researching, prototyping, and integrating emerging deep learning techniques and tools into our perception stack What we're looking for M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field with a focus on computer vision or machine learning 8+ years of industry experience in developing and deploying perception algorithms in real-world applications Strong proficiency in modern deep learning frameworks (e.g., PyTorch, TensorFlow, Qualcomm Chip) and classical CV libraries (e.g., OpenCV) Deep expertise in one or more of: object detection, multi-object tracking, segmentation, depth estimation, or sensor fusion Solid experience with deployment of ML models on edge devices and Cloud Platform (e.g., GPU/embedded) Excellent programming skills in Python or C++ Strong understanding of 2D/3D geometry and image processing Experience working with large-scale datasets, including data curation, annotation, evaluation, Airflow pipeline and messaging platforms (e.g. MQTT, Kafka, or ROS2) Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes) Familiarity with ML model training, Data Annotation and Model Evaluation Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins) Proven track record of technical leadership and mentorship in high-performing engineering teams Publications or patents in computer vision or applied machine learning 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 $220,000.00 USD to $250,000.00 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-AR1 #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.

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon's discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position As the Director, IT Computer System Validation & Quality Assurance, you will play a pivotal role in ensuring the compliance, reliability, and quality of our computer systems within the biotechnology domain. This position offers a unique opportunity for an experienced professional to lead and make a significant impact on our company's success. This role will require a minimum of 3 days a week of onsite presence (or more as business needs require) in our Millbrae, CA office to ensure effective management, operational excellence and high-performance delivery of clinical studies and to support the expected significant team growth & collaboration. About You The ideal candidate for this role should possess experience in computer system validation and quality assurance within the biotech or pharmaceutical industry and demonstrate in-depth knowledge of regulatory requirements such as FDA and GxP pertaining to computer system validation and quality assurance. Proficiency in writing validation documentation, along with exceptional analytical and problem-solving skills, is essential. Strong leadership and communication skills are also critical for providing leadership to the Quality Assurance team and ensuring compliance with industry standards and regulatory demands in computer system validation and quality assurance. What You'll Do Define and drive the global strategy for CSV and software QA aligned with regulatory standards and company goals. Establish governance for validation lifecycle management, including system risk assessments, validation planning, testing, and periodic reviews. Collaborate with IT, Clinical, Pharmacovigilance, Biostatistics, and Regulatory teams to ensure compliant and robust software systems. Own and evolve the organization's CSV framework across GxP and non-GxP systems. Ensure that validation activities meet regulatory and business requirements for systems like Veeva Vaults, QMS, Safety systems and custom applications Develop and execute strategies for the validation of computer systems, ensuring compliance with industry standards, regulatory requirements, and company policies. Establish and maintain validation protocols, including test scripts, plans, and reports. Provide leadership and direction to the Software Quality Assurance team, fostering a culture of quality excellence. Collaborate with cross-functional teams to ensure that computer systems meet quality standards and perform efficiently. Create, review, and maintain comprehensive documentation related to computer system validation activities. Prepare validation reports and documentation for regulatory submissions and audits. Design and oversee the execution of test cases to verify the functionality and performance of computer systems. Identify and document deviations, issues, and discrepancies encountered during testing. Identify opportunities for process optimization and efficiency improvements in computer system validation and quality assurance. Develop and deliver training programs for relevant stakeholders. Stay current with industry regulations and standards related to computer system validation and quality assurance. Ensure audit readiness for internal and external inspections (e.g., FDA, EMA, etc.). Assist in regulatory inspections and audits as required. Qualifications Post Graduate degree with 10+ years of experience or a bachelor's degree with 12+ years of experience in Computer Science, Information Technology, Engineering, or a related field. Master's degree is a plus. A minimum of 10+ years of experience in computer system validation and quality assurance within the biotech or pharmaceutical industry. In-depth knowledge of regulatory requirements (FDA, GxP, GAMP, etc.) related to computer system validation and quality assurance. Strong experience with CSV in GxP environments, including risk-based validation approaches. Experience working with Veeva Development Cloud Vaults and Commercial solutions Familiarity with software development methodologies (Agile, Waterfall, V-model). Proficiency in writing validation documentation, including protocols, reports, and procedures. Exceptional analytical and problem-solving skills with meticulous attention to detail. Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams. At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including: 401k plan with company matching Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%) Mental health and wellness benefits Weeklong summer and winter holiday shutdowns Generous paid time off and holiday policies Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies Enhanced parental leave benefit Daily subsidized lunch program when on-site The expected salary range for this role is $195,000 to $212,800 depending on skills, competency, and the market demand for your expertise. Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment. We are currently not accepting any new third-party agencies or firms at this time. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Eikon Therapeutics will not pay fees to any third-party agency or firm associated with unsolicited resumes.

Professor and Department Chair - Computer Science College of Engineering & Applied Science Department of Computer Science Elevate Your Career at UCCS: Innovate, Inspire, and Impact in the Rockies! Who We Are The University of Colorado Colorado Springs (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking a Professor and Department Chair of Computer Science to join our team! UCCS offers a diverse and inclusive learning environment that fosters innovation, growth, and the holistic development of its students. At the base of the Rocky Mountains, Colorado Springs is captivated by its stunning landscapes, making it a paradise for nature lovers. This city is more than its scenery-a mosaic of history, arts, and a vibrant tech scene. We invite you to join a community that cherishes outdoor adventure as much as forward-thinking growth, an exceptional setting for both career and lifestyle. Professor Salary Range: $ 130,000-140,000 per academic year. Compensation will be commensurate upon experience and qualifications. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions. Department Chair Salary: $18,400 annually, plus two 3-credit hour teaching offloads per academic year. Department chairs are appointed for three years. Appointment and reappointment follows the department bylaws and UCCS Guidelines on Roles and Responsibilities of Department Chairs: https://provost.uccs.edu/faculty Work Location: On-Site Benefits at a Glance At UCCS, our employees are our most valued asset. We're proud to offer: Robust Health Coverage: Our comprehensive medical plans cover preventative care at no cost, including a yearly mental health visit. Plus, benefit from affordable dental, vision plans, and competitive prescription drug prices. Financial & Retirement Benefits: Take advantage of our health savings, flexible spending accounts, and life and disability insurance. Plan for your future with our retirement options. Further Your Education: Avail nine waived credits per academic year for courses at any CU campus. We invest in your educational and professional growth. Wellness & More: From wellness programs aimed at achieving your best self to various additional benefits through CU Advantage, we prioritize well-being and holistic development. Want to know your total compensation? Use our calculator to get the complete picture! Summary A full professor in Computer Science will develop and teach undergraduate and graduate courses in computer science as assigned by the chair based on departmental needs, will possess a solid publication record, and be expected to develop or continue to develop a strong research group with an externally funded research program in any area of computer science. The department chair position involves managing faculty and staff, fostering a collaborative and inclusive environment, and ensuring the continuous improvement of curriculum and academic programs. The chair will also advocate for the department's initiatives, represent the department to internal and external stakeholders, and promote a climate of innovation, diversity, and academic rigor. The position requires strong leadership, excellent communication skills, and a commitment to fostering a culture of academic excellence. The Department of Computer Science at UCCS excels in preparing undergraduates for careers in the computing industry locally and nationally by providing ABET-accredited classes of high quality. The department has over 700 majors across several programs including graduate-level programs to suit the needs of full-time students and working individuals in the region. The Department of Computer Science is an NSA/DHS designated National Center of Academic Excellence in Cyber Defense Education (CAE-CD) and in Research (CAE-R). We comprise 22 fulltime faculty, including NSF CAREER, NIH MIRA, and AFOSR YIP winners, with approximately 600 undergraduates, 70 masters students, and 50 PhD students in two PhD programs---one in Computer Science and the other in Cybersecurity. In 2024-25, the department averaged $650K in active funding per tenure track faculty member. We actively support graduate students through NSF CyberCorps Scholarship for Service (SFS) and DoD Cyber Scholarship Program (CySP) grants. The department proudly advocates and pushes the university's efforts to continue to grow its high research activity. Explore the Computer Science Department and undergraduate and graduate degrees: https://eas.uccs.edu/departments/computer-science Essential Functions The duties and responsibilities of the professor position include, but are not limited to: Provide instruction to undergraduate/graduate students. Maintain a funded research program. Engage in service activities to support the University, city, state, region, nation and/or professional associations. Provide mentorship to students and junior faculty. Participate in curriculum development, implementation, and evaluation. Participate in meetings and other activities that advance the mission and goals of the department and college. Other duties as determined by the Dean and Department Chair. The duties and responsibilities of the Department Chair include, but are not limited to: Leadership Provide leadership toward the highest possible level of excellence in teaching, research/creative work, and leadership and service. Articulate the goals of the unit, both within and outside the unit, to articulate its actions or requests in pursuit of these aims. Maintain a climate that is collegial, that respects diversity, that treats faculty, staff and learners fairly and supports creativity and innovation. Ensure the department's accredited programs meet ABET-accreditation criteria and guidelines. Inform the unit of the stances and actions of the dean and other administrators that might affect the unit. Represent the unit's views on matters of educational policy and academic ethics to senior administration. Coordinate the recruitment, selection, and evaluation of both the academic and the staff personnel of the unit. Be receptive to questions, complaints, grievances, and suggestions from members of the unit, both academic personnel and staff, and from students. Follow the College's grievance procedures and act as the first level of authority above the faculty member in handling student complaints (including academic misconduct) and concerns. Department Administration Assignment of teaching and other duties within the unit consistent with appropriate FTE levels and college/school workload expectations, recognizing that the appropriate mix of teaching, research/creative work, scholarship, professional practice, clinical work and leadership and service may differ from person to person, and from time to time in the career of an individual. Work with the faculty and program directors to ensure timely preparation of the schedule of courses and of times and places for class meetings. Arrangement and assignment of duty for mentoring of students and for training and supervision of teaching assistants and other student teachers and teacher aides. Preparation of the budget and administration of the financial affairs of the unit, in strict accordance with dollar and FTE allocations and in accordance with University rules and procedures. Recommendation of sabbatical assignments and leaves of absence to the dean, and confirmation that scheduling is consistent with unit needs. Identify curriculum and other sources of opportunity for professional pathways, and work with the Dean, Associate Dean, Finance and Accounting Manager, and faculty to implement any new offerings. Faculty Performance Management Review annual workload plans of the faculty and ensure they are consistent with assignments and expectations. Identify and assist in the acquisition of resources needed for faculty to achieve their workload goals. Work with human resources to create recruiting plans and processes for any approved faculty positions in consultation with the Dean. Review Faculty Course Questionnaires (FCQs) for each faculty member and provide resources and guidance for the maintenance and accomplishment of teaching excellence. Monitor the academic qualification and professional qualification status of faculty. Works with the Dean to make improvement plans and workload adjustments as needed in those cases where qualifications are not maintained. Monitor and assist progress of the tenure track faculty towards tenure. Become familiar with and follows assigned duties related to annual evaluation of faculty Other Duties Other duties/responsibilities that may arise as needed. Tentative Search Timeline Priority will be given to applications submitted by: January 31, 2026. Potential interview dates: March 2 - 20, 2026 Potential start date: Fall 2026 UCCS is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices. Qualifications PhD in Computer Science or a related field Eligible for appointment at the rank of professor per the Department of Computer Science's most recent reappointment, promotion and tenure criteria: https://provost.uccs.edu/tenure-promotion-annual-performance-criteria-and-resources CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices.

Site Name: USA - Pennsylvania- Marietta Posted Date: Nov 12 2025 Oversight of and participation in the development and execution of Computerized System Validation Life-Cycle documents / protocols, including but not limited to Validation Compliance Assessments, Validation Plans, Qualification Protocols, User Acceptance Tests, Change Controls, Periodic Validation Reviews, Audits, and Corrective Actions for audit findings for automated systems at the Marietta, R&D, Clinical Drug product site. Ensure both technical and procedural content of computerized system validation deliverables reflect current GSK Policy and procedures, government regulations, and industry practices. Coordination of validation activities with internal business partners / key stakeholders in a manner that satisfies procedural and operational requirements. Supervision, management, and mentoring of less senior validation personnel with the objective of completing computerized systems validation-related tasks in a timely manner and within budget, while providing quality and effective deliverables. Key Responsibilities: Provide leadership in establishing and maintaining the validated state of Direct Impact systems with an emphasis on computerized systems. This includes stand alone automation systems as well as those embedded in vendor provided equipment (e.g. PLC) Manage and deliver the computerized system validation tasks and deliverables associated with both capital and non-capital projects. Serve as the principal automation validation member / team validation lead on projects. Participate in the development of requirements and specifications related to computerized systems validation. Perform and/or manage the completion of Validation Maintenance Review Program, and Business Capital Validation across the organization. Provide direction to Validation Staff and contracted third party validation staff based on business project needs. Support the development of the overall validation life cycle strategies, programs, and policies related to computerized system validation. Support internal audits as a Validation SME regarding validation of computerized systems. Participate in validation harmonization efforts across the organization to optimize the benefits to the business. Participate in Quality Management System document revisions, endorsement and gap assessments related to the validation of computerized systems. Provide input to the QMS Steering team as required. Support experimental studies to identify methods and design-of-experiments for studies leading to the validation of computerized systems. Provide input to the GSK matrix team environment to deliver GMP compliant electronic tracking systems and the batch record system suitable for deployment. Lead and engage in cross departmental project teams including R&D Information Technology (IT) and 3rd parties in delivering new, GMP compliant, electronic system capability. Why You? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Scientific or engineering BS degree supplemented with 5+ years of computerized systems validation experience. Technical knowledge of enterprise, laboratory, and manufacturing systems and equipment commonly used in a GMP Clinical Sterile Manufacturing facility. Experience as a project team-member for capital projects (or similar) and proficient with computers, integrated systems, and tools that support validation activities and project management. Experience to interact well with peers, subordinates, and senior personnel in multidisciplinary teams involving scientific, engineering, operational, and quality disciplines. Experience working on multiple projects; the ability to focus on the important/prioritized projects, and the flexibility to adapt to changing priorities. Knowledge of government regulations, current industry standards and practices, and quality principles relevant to computerized systems validation. Knowledgeable of current standards for computerized systems validation with regard to : Software Testing Hardware Testing Data Integrity Electronic Records and Signatures General understanding / experience with the following as it relates to validation of computerized systems: cGMPs for FDA, EMEA and elsewhere Quality Management Systems QbD; Lean Sigma ICH Guidelines GAMP 21 CFR Part 11 compliance Project Management Framework Preferred Qualifications: If you have the following characteristics, it would be a plus: Kneat electronic validation solution program (practical experience) Data Integrity & ALCOA principles & regulations- EU and FDA cGMP Industrial Building Automation Systems e.g., BMS, DeltaV, SCADA, DCS, etc. Data Historization knowledge & understanding of relevant software and hardware Analytical Systems knowledge and data capture/transfer process understanding #LI-GSK Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Job Description Job Description Summary: Wentworth Institute of Technology invites applications for an Assistant Professor position in Computer Science within the School of Computing and Data Science, beginning Fall 2026. The standard load for the position is 12 credit hours per semester for the fall and spring semesters. The successful candidate will help launch and sustain the new BS in Applied Artificial Intelligence while teaching a subset of our Computer Science curriculum. This position has been designated as a Francis A. Sagan Professorship for the initial three-year term of the appointment. The Sagan Professorship carries a $3,000 annual salary supplement and a $5,000 annual research budget for each of the three years. The underlying R/A appointment continues beyond the three-year term without the additional funds. "This professorship honors alumnus Frank Sagan, a 1933 graduate and lifelong educator, and is awarded to a faculty member whose contributions align with Wentworth's mission and demonstrate exceptional impact in civil, environmental, mechanical, or other engineering disciplines, including emerging fields." About Wentworth and the School of Computing and Data Science: Wentworth is a university of opportunity recognized for providing a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer undergraduate majors in Applied Mathematics, Applied Artificial Intelligence, Computer Science, Cybersecurity, Data Science, and Information Technology, as well as graduate degrees in Computer Science, Data Science, and Cybersecurity. The SCDS has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile and web application development, stochastic processes, dynamical systems, financial mathematics, graph theory, algebra, and modeling. Faculty in SCDS maintain strong collaborative relationships with colleagues in sciences, humanities, and electrical and computer engineering, among other disciplines. Our faculty represents a wide range of backgrounds and experiences. Collaboration is highly encouraged and supported, and our School has no departmental boundaries. Many of our faculty bring significant industrial, consulting, entrepreneurial, and project management experience, contributing to a dynamic and applied academic environment. Responsibilities: Teaching: Faculty typically teach 3 courses (12 credit hours) each fall and spring semester. Faculty are encouraged to incorporate some measure of experiential/project-based content in their curricula. Scholarly Work: Faculty are expected to engage in active research within their fields of expertise. Service to the Institute: Examples include mentoring extracurricular student organizations, and committee work. We value creative and passionate educators who can teach to a diverse student body; as such we seek to amplify the perspectives of the faculty body and encourage applications from members of groups underrepresented in STEM. If you are interested in preparing our next generation of AI enabled Computer Scientists and if you have substantial experience with project-based learning and undergraduate Computer Science education innovation, then we'd love to hear from you. Minimum Requirements: PhD. in Computer Science, or a closely related discipline. Demonstrated ability and willingness to teach undergraduate (and potentially graduate) Computer Science and Applied AI courses across modalities. Commitment to inclusive, experiential, and transformative teaching and learning. Working knowledge of AI concepts, practices and procedures and the ability to research and teach them in varied applications. Substantial professional experience in a directly related field. Preferred Requirements: 3 years of related work experience. University teaching experience with evidence of effective, inclusive pedagogy. Industry experience and/or applied research that connects students to real‑world practice (e.g., co‑ops, internships, sponsored projects, community partnerships). Evidence of curriculum development, program building, and collaboration across disciplines. Expertise in one or more areas aligned with the Applied AI program and CS curriculum, such as: machine learning, deep learning, data‑centric AI, MLOps and deployment, cloud computing, AI for gaming, AI systems, databases and data engineering for AI, AI in software engineering, cybersecurity for AI, responsible/ethical AI, human‑computer and human-AI interaction, and VR/AR. Position Details: The position includes a comprehensive benefits package and a competitive salary. Benefits are described briefly HR: https://wit.edu/careers/work-wentworth At this time, the university is unable to sponsor applicants for H-1B visas. It is expected that the salary range for this position is between $89,042 and $106,467. The low end of the pay range in all faculty searches is at the minimum salary for the rank per the collective bargaining agreement between Wentworth Institute of Technology and the Wentworth Faculty Federation, Local 2403, AFT MA, AFL-CIO (the "Faculty Federation" or "Federation"). The specific pay for this position will be determined by the University based on consideration of all relevant factors when and if it decides to extend an offer of employment. The range does not include any salary stipend from a named-professorship. Note that these are two semester equivalent salaries. This position comes with a 10% retirement contribution (no matching required) according to the current Collective Bargaining Agreement with the Wentworth Faculty Federation. Wentworth uses a three-semester per year schedule. The faculty contracts are for two semesters (fall and spring) with optional summer teaching, which is paid on a prorated basis of the provided two-semester salary. This means the annual compensation could reach 1.5 times the provided two-semester salary, depending on the availability of summer classes. Application Instructions: Please apply at https://jobs.wit.edu/ . Please submit the following materials: Curriculum vitae (including contact information for three references). Cover letter (summarizing fit for the position and areas of teaching across CS and Applied AI). Teaching statement (including approaches to inclusive, experiential pedagogy). Research/Scholarship statement (highlighting applied, theoretical, pedagogical, or industry‑engaged work; early‑career scholars may outline a plan that leverages the Sagan Professorship support). Two-page statement addressing our strategic pillars in your teaching and research: https://wit.edu/about/president/mission-vision-values . Three confidential letters of recommendation (at least one of which addresses teaching and at least one of which addresses research). Application review will begin January 6, 2026, and continue until the position is filled. Applications received by December 15, 2025, will receive full consideration. Compensation and Benefits Wentworth Institute of Technology is committed to fair, transparent, and legally compliant compensation practices. We believe that clarity about pay structures and ranges supports equity, fosters trust, and ensures a positive workplace for all employees. Please visit here to see the comprehensive benefits package offered to support the best experience for our employees. https://wit.edu/careers/work-wentworth Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.