Auto-apply to these computer science jobs

We are seeking an innovative and highly motivated Computer System Validation (CSV) Engineer who will be part of Cellares’ Quality group and contribute significantly to the development of our advanced cell therapy manufacturing platform. The primary focus of this position is to actively lead all aspects of Quality Engineering activities in an FDA-regulated environment and ensure compliance with cGMP and GAMP 5 requirements. This is a multidisciplinary role and this individual will interface across many parts of the company (with scientists, researchers, and engineers) and will lead and drive Quality throughout the product life cycle from product development and production builds to market release. Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows. Responsibilities Create quality documentation, protocols, reports, specifications, templates and developing procedures to ensure a systemic process for ensuring compliance with regulatory requirements throughout the development and the software life cycle Perform independent reviews of the Computer System Validation (CSV) deliverables, from the requirements gathering phase to the retirement phase Create documentation associated with planning, intended use, user requirements, risk assessments, configuration and design specifications, design reviews, test protocols, 21 CFR Part 11 compliance assessments, requirements trace matrix, and summary reports Collaborate with cross functional teams, including external parties to establish validation plans for test methods, equipment, processes and products using appropriate techniques Review and approve changes to existing systems from a Validation perspective ensuring changes are implemented in compliance with internal procedures and external standards Perform periodic reviews for validated systems and defend the practice and outcomes of software validation Drive root cause analysis investigations and CAPAs and actively participate in continuous improvement activities with cross-functional teams Support or serve as SME during internal and external audits Establish and promote an environment that supports the Quality Policy, Data Integrity and Quality System Deep understanding of ALCOA, GAMP 5, ICH Q9 , 21 CFR Parts 210,211 and part 11 requirements for Computerized Systems including, but not limited to, manufacturing equipment, laboratory equipment, and enterprise software systems Requirements Bachelor's level degree or higher in Science, Engineering, or Software discipline 3+ years of related work experience in Software Quality Engineering and/or Computer System Validation (CSV) Experience working in an FDA-regulated industry Knowledge of Software development life cycles (SDLC) preferably with automated manufacturing and computerized lab systems Understanding of data integrity requirements and how to perform assessments Practical knowledge of 21 CFR Part 11 (electron records/electronic signature), 21 CFR Parts 210,211 and GAMP 5 Experience in supporting automated manufacturing equipment desired Must possess excellent organizational, clear verbal, and written communication skills High level of attention to detail and compliance and ability to effectively support multiple high priority deliverables at once Hands on approach, self-motivated with a passion for solving problems Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent. This is Cellares Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company’s Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares’ Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand. The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing. Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.

Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s. What You'll Do Lead State-of-the-Art Research : Invent and implement computer vision and generative AI algorithms that push the boundaries of the field. Stay abreast of the latest advances in deep learning, visual reasoning, and large-scale data processing Design Scalable Real-Time Systems : Create models that can reliably handle input from thousands of always-on video cameras, running at scale 24/7, and extract actionable insights around safety issues Collaborate with Cross-Functional Teams : Work closely with software engineering, cloud, and ML operations teams to optimize data ingestion, model retraining, and redeployment flows across large-scale infrastructures Consult on Customer Solutions : Advise Sales, Customer, and Field Engineering teams in defining and customizing solutions to meet complex client requirements Contribute to Product Evolution : Transfer research findings into production, contributing to the continuous improvement of our cutting-edge platform Drive Continuous Innovation : Shape Voxel’s vision for deploying generative AI to solve industrial and enterprise-scale computer vision problems, using millions of videos to find patterns and deliver actionable insights to customers. Minimum Qualifications Educational Background :Bachelor’s degree in Computer Science, Electrical Engineering, or a related field + 5 years of professional experience; OR Master’s degree in a relevant field + 3 years of professional experience; OR PhD in Computer Vision, Machine Learning, or a similar area. Deep Learning & Computer Vision Expertise : Proven experience in building and deploying deep learning models (e.g., convolutional neural networks, visual reasoning architectures) for large-scale image or video analysis. Practical Experience at Scale : Hands-on track record in processing and extracting insights from large video datasets (e.g., millions of video). Research-to-Product Transition : Demonstrated ability to translate innovative computer vision, machine perception, or machine learning research into shipping products or real-world applications. Generative AI Exposure : Familiarity with generative models and techniques, with a passion for applying them to real-world computer vision and safety use cases. Collaboration & Communication : Excellent written and verbal communication skills; able to lead cross-functional discussions and clearly articulate complex technical concepts to diverse stakeholders. Preferred Qualifications Experience with VLMs or Multi-Modal Architectures : Familiarity training or fine-tuning large Visual Language models that integrate text and visual components. Video-Based Modeling : Hands-on experience building and optimizing video-focused neural networks for tasks such as activity recognition, action localization, or spatiotemporal understanding. Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in-office, vibrant company events, team-building. 401K retirement plan, HSA options, pre-tax Commuter Card.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. What you will do: Develop and deploy cutting-edge perception and deep learning models, including vision-language and large language models (VLMs and LLMs), for real-time integration into our system. Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development. Conduct advanced research in perception algorithms to address complex, real-world scenarios, focusing on areas like object detection, segmentation, road understanding, and motion prediction. Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving. Contribute to the ongoing development and refinement of current models on the WeRide platform in close collaboration within Perception team and cross-functional efforts with other teams. Qualifications: Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2024 and June 2025. Strong programming experience in C++ or Python. Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR. Knowledgeable in data structures, 3D geometry, and advanced algorithms. Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry. Excellent software and computing fundamentals Bonus Points: Experience with Large Language Models (LLM) or Vision Language Models (VLM) Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - $165,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 4-5 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

Union College invites applications for the position of Lecturer of Electrical and Computer Engineering, beginning September 1, 2025. Review of applications will begin on April 25, 2025 and continue until the position is filled. Applications received by April 25 will receive priority consideration. Position description: The position is renewable with a contract period of three years. Opportunities for promotion to Senior Lecturer (with renewable five-year contracts) occur after six years. We encourage applicants from all areas of expertise, including but not limited to circuit design and fabrication, RF electronics, and communications. Applicants must have an M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field by August 2025. Candidates with industry or consulting experience in the above-mentioned specialties are welcome to apply. Primary responsibilities of the successful candidate include the following: Teaching undergraduate courses in circuit analysis and design, RF electronics, and communications. Developing undergraduate elective courses in the candidate's areas of expertise. Supervision of senior capstone projects. Co-curricular duties that may include: supervising the student projects lab; organizing the department seminar series; coordinating the senior capstone design experience; and advising student clubs and design competition teams. Although research is not an expectation of this position, the successful candidate will have the option to continue scholarly activity and will be eligible to apply for internal College funds, and will have access to a wide array of advanced instrumentation and facilities. About the Electrical, Computer, and Biomedical Engineering Department: In 1845, Union College became the first liberal arts institution in the nation to offer a degree in engineering. We currently offer ABET-accredited degree programs in Biomedical Engineering, Computer Engineering, Electrical Engineering, and Mechanical Engineering, and new programs in Civil and Environmental engineering that will seek ABET accreditation. Our programs emphasize close student-faculty interaction with opportunities to study abroad, perform hands-on undergraduate research, and minor in disciplines ranging from theater and dance to history and economics. Application instructions: Please submit all application materials as pdf files. Only the materials listed below will be considered. (1) Cover letter (2) Curriculum Vitae (3) Statement of teaching interests that, where applicable, includes a description of experiences working with diverse learning communities. Please send questions and other inquiries to search chair, Professor Takashi Buma, at bumat@union.edu. Applicants invited to the first round of interviews will receive a request for the contact information for three professional references who can speak to their abilities in teaching Electrical and Computer Engineering undergraduates. Compensation The annual salary range for this position is $83,000-$86,000. Except for roles with a set rate of pay, the wage/salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The stated hiring rate/range represents the College's good faith and reasonable estimate of the rate/range of possible compensation at the time of posting. Location: Schenectady, NY We offer exceptional benefits including: Healthcare, Dental, and Vision Insurance (Flexible Spending and Dependent Care Accounts) Free On-Campus Fitness Facility Access and Discounts for On-Campus Wellness Programs Employee Scholarships toward Certifications, Seminars, Training and Professional Development Pre and Post Tax participation in a 403(b) Retirement Plan Salary Continuation Program in the event of Disability Tuition Assistance Program for Employee, Spouse and/or Dependents Background Checks: In accordance with our background check policy, finalists for hire will undergo a background check that includes education, employment, and criminal convictions. E-Verify Participation: Union College participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. Learn more about E-Verify and your Right to Work (Derecho a Trabajar).

ARA is looking for a Senior Computer Vision AI/ML Engineer. At ARA, we strive to hire valuable colleagues with not only the right skills, but also demonstrate our core values of passion, freedom, service and growth. As a Senior Computer Vision AI/ML Engineer, you will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, PyTorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundational models to advance IC assessments, fine-tune models, and write briefings and reports for decision makers. Senior Computer Vision AI/ML Engineer Required Experience: Must be a US citizen with an active TS/SCI security clearance with the required polygraph (Not CI) Bachelor's degree in a related field with a minimum of 8 years of relevant experience; or a Master's degree with 7 years of experience; or a Doctorate with 6 years of experience Data Science experience Python and/or R Machine Learning/Computer Vision/Object Detection AI/ML experience Senior Computer Vision AI/ML Engineer Desired Experience: PyTorch machine learning library experience TensorFlow software library for AI/ML experience Overhead Imagery Exploitation Who is ARA? Do you want to work for a purpose? Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company. We have been providing technically superior solutions to complex and challenging problems in the physical sciences since 1979. ARA has over 2,279 employee-owners and continues to grow rapidly. Together, our offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. ARA also prides itself, on having a challenging culture where innovation & experimentation are the norm. The motto, "Engineering and Science for Fun and Profit" sums up the ARA experience. Employee ownership ensures you have a voice with what happens in the company. To find out more about what the Intelligence, Surveillance & Reconnaissance Division has to offer, visit our website at: https://www.ara.com/benefits/

Applicants MUST be a current student at DigiPen Institute of Technology to qualify for this position. Student Employment at DigiPen is open to all currently matriculated students if they meet the qualifications for the job. Students may not work during any time when they have a class scheduled, a class is canceled, or a class ends early. Student workers must reside within the State of Washington. Remote work outside of Washington will not be permitted. Job Title: Student TA - CS-260 Computer Networks I (Rasa), F25 Reports to: Tony Rasa Class Times: Tuesday & Thursday, 6:00pm - 7:20pm Essential Functions A Teaching Assistant (TA) is expected to assist the instructor in the classroom as requested by the instructor. Responsibilities may include equipment setup and/or operation (e.g., running slide decks during lectures), facilitating student presentations, answering student questions during labs, pre-grading assessments, submitting attendance sheets, etc. TAs are expected to assist with grading outside the classroom, meet regularly with the instructor, and may be required to meet with students outside class to answer questions as needed. Other duties as assigned by the instructor. TAs will meet weekly with the instructor for performance feedback and duty modification and will receive a full evaluation once per semester. Duties and Responsibilities Classroom set up and tear-down tables and/or easels during class Making copies for students Grading student work Assisting students in labs and during published office hours Meeting students online, if required Grading lab-reports using the provided guidelines Uploading grades onto Moodle Providing constructive feedback in the grading to the students Timely delivery of graded reports/assignments and maintaining consistency and clarity in grading Set-up and execution of events Clean, maintain equipment Assisting instructor Troubleshooting Organizing Accountable for tracking and reporting the amount of time worked Qualifications/Competencies Have proven proficiency with the course material Possess a positive attitude toward learning and a willingness to help others excel Be comfortable interacting with other students on an instructional level as a mentor Arrive on time and be prepared to attend with complete focus during work hours Successfully completed CS-260 and/or CS-261 Comfortable with multiple aspects of Socket Programming and C/C++ Able to give critique in a professional manner Strong communicator Reliable, punctual, and invested in the success of their fellow students Be able to work independently Expected dates of employment: September 2 - December 12, 2025 Expected number of hours per week: 15 Once again, students are not permitted to work during any time when they are scheduled for a class. * Wage Range: $16.66 - 17.75 per hour, depending on number of terms worked at DigiPen Requirements to Apply: Resume Cover Letter Current Semester Academic Schedule Working Conditions: The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, and/or crouching; and fine finger dexterity. May need to lift up to 25 lbs. Generally, the job requires 80% sitting, 10% walking, and 10% standing. DigiPen Student Employee Academic Requirements: Are currently a Matriculated student at DigiPen Institute of Technology Good Academic Standing - not on Academic Warning as defined in DigiPen Course Catalog A minimum cumulative GPA of 2.5 or higher Have taken and passed CS-260 and/or CS-261 with a B or better Requirement Exceptions: It is possible to still be selected for a position with DigiPen if you do not meet the requirements above, so don't let that dissuade you from applying! Once you have applied for - and the supervisor decides to offer you - a position, we will contact the necessary managers (Supervisor, Department Chair, and/or the Dean of Faculty) to complete and sign off on an Academic Waiver form, depending on which requirements need to be waived. Once the Waiver is returned to us, we'll continue you through the hiring process. Equal opportunity is a priority of DigiPen Institute of Technology, as the institution is committed to fostering a positive learning environment for all. The Institute's intent is to hire the most qualified individuals for faculty and staff, attracting candidates from diverse backgrounds of race and ethnicity, gender, gender identity, gender expression, sexual orientation, age, socioeconomic status, veteran status, nationality, culture, religion, and physical abilities. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.

Application Instructions: External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My Information page. IMPORTANT: Please review the job posting and load ALL documents required in the job posting to the Resume/CV document upload section at the bottom of the My Experience application page. Use the Select Files button to add multiple documents including your Resume/CV, references, cover letter, and any other supporting documents required in the job posting. The "My Experience" page is the only opportunity to add your required supporting document attachments. You will not be able to modify your application after you submit it. Current Mercer University Employees: Apply from your existing Workday account. Do not apply from the external careers website. Log in to Workday and type Jobs Hub in the search bar. Locate the position and click Apply. Job Title: Senior Computer Scientist Department: MERC College/Division: Mercer Engineering Research Center Primary Job Posting Location: Warner Robins, GA 31088-7810 Additional Job Posting Locations: (Other locations that this position could be based) Job Details: Mercer Engineering Research Center (MERC), a research institute of Mercer University, provides high quality engineering, scientific, and technical support services to both government and private industry customers. DUTIES AND RESPONSIBILITIES Serves as internal resource on structured programming techniques for software systems. Leads program design reviews with customer. Responsible from the initial concept to design, coding, and testing to meet specifications. Performs analysis of algorithms and requirements for computational resources and architecture required. Responsible for leading a team to develop software systems, including the design, implementation and deployment of device drivers, kernel enhancements, and other essential system-level software. Demonstrates proficiency in multiple software languages and operating systems. Responsible for leading a team to perform analysis, design, software development, and maintenance tasks for highly complex systems. Responsible for coaching less experienced computer scientists and ensuring adherence to design and coding standards and practices. Demonstrates the ability to mentor and lead less experienced team members. Leads the development, test, and integration of code for new or existing software of significant complexity involving multiple teams. Remains abreast of all applicable technical advancements. Applies and adapts theoretical principles to develop new computer software and/or hardware solutions. Develops approaches to solve analytical problems and documents methodologies Complies with all Executive Director approved MERC-wide policies and procedures. Adheres to approved MERC MSP quality management policies and principles and promotes an attitude of commitment to continuous quality improvement. Ensures thorough familiarity and awareness of all MERC core capabilities and remains alert for any opportunities to promote MERC capabilities and interests to customers and potential customers. Submits suggestions for new business opportunities or report identified customer problems or opportunities to the Director of Acquisition Strategy through a Chief Engineer/Technical Director. REQUIRED QUALIFICATIONS US Citizenship is required. Ability to obtain and maintain a DoD Security Clearance. An undergraduate degree in computer science and 9 years of directly related experience; a Master's degree in same and 8 years of directly related experience; or a Ph.D. degree in same and 3 years of directly related experience. 3 years of technical lead responsibility. Ability to obtain certification in accordance with DoD 8140 series requirements. Proficient using Python, Java, JavaScript, J-Query, C#, and Dot.NET frameworks including MVC, Web Forms, and/or Dot.NET core. Proficient using secure coding practices. Proficient using database design principles and Structured Query Language (SQL). Proficient using the agile framework and software development life cycle. Proficient in the development of testing strategies for components and/or applications. To apply, please upload a copy of your cover letter, resume and transcripts for consideration. Final rank will be determined on the qualifications of the selected candidate. BENEFITS OF WORKING AT MERC MERC is a non-profit research institute of Mercer University, a private university founded in 1833. Established in 1987 in Warner Robins, GA, MERC employs more than 200 engineers, scientists, professors, and support staff, who provide sustainable research solutions to government agencies, the Department of Defense, and commercial customers around the world. Warner Robins and the middle GA area are located 90 miles south of Atlanta and within easy driving distance of both the beach and mountains. The area is known for its Southern-style music, food, and restaurants and has a rich cultural and art presence, along with excellent health care and schools. MERC offers a generous benefits package including health and dental insurance, retirement, tuition reimbursement, vacation/sick leave accrual, and holiday pay. Why Work at Mercer University Mercer University offers a variety of benefits for eligible employees including comprehensive health insurance (for self and dependents), generous retirement contributions, tuition waivers, paid vacation and sick leave, technology discounts, schedules that allow for work-life balance, and so much more! At Mercer University, a Bear is more than a mascot: it's a frame of mind that begins with a strong desire to make the most out of your career. Mercer Bears do not settle for mediocrity or the status quo. If you're seeking an environment where your passion and determination are embraced, then you want to work at Mercer University. For more information, please visit: https://hr.mercer.edu/prospective/ Scheduled Weekly Hours: 40 Job Family: Staff MERC Exempt EEO Statement: AA/EEO/Veteran/Disability Mercer University recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives, and backgrounds.

Applicants MUST be a current student at DigiPen Institute of Technology to qualify for this position. Student Employment at DigiPen is open to all currently matriculated students if they meet the qualifications for the job. Students may not work during any time when they have a class scheduled, a class is canceled, or a class ends early. Student workers must reside within the State of Washington. Remote work outside of Washington will not be permitted. Job Title: Student TA - CS-260 Computer Networks I (Rasa), Su25 Reports to: Tony Rasa Class Times: Tuesday & Thursday, 6:00pm - 7:40pm Essential Functions A Teaching Assistant (TA) is expected to assist the instructor in the classroom as requested by the instructor. Responsibilities may include equipment setup and/or operation (e.g., running slide decks during lectures), facilitating student presentations, answering student questions during labs, pre-grading assessments, submitting attendance sheets, etc. TAs are expected to assist with grading outside the classroom, meet regularly with the instructor, and may be required to meet with students outside class to answer questions as needed. Other duties as assigned by the instructor. TAs will meet weekly with the instructor for performance feedback and duty modification and will receive a full evaluation once per semester. Duties and Responsibilities Classroom set up and tear-down tables and/or easels during class Making copies for students Grading student work Assisting students in labs and during published office hours Meeting students online, if required Grading lab-reports using the provided guidelines Uploading grades onto Moodle Providing constructive feedback in the grading to the students Timely delivery of graded reports/assignments and maintaining consistency and clarity in grading Set-up and execution of events Clean, maintain equipment Assisting instructor Troubleshooting Organizing Accountable for tracking and reporting the amount of time worked Qualifications/Competencies Have proven proficiency with the course material Possess a positive attitude toward learning and a willingness to help others excel Be comfortable interacting with other students on an instructional level as a mentor Arrive on time and be prepared to attend with complete focus during work hours Successfully completed CS-260 and/or CS-261 Comfortable with multiple aspects of Socket Programming and C/C++ Able to give critique in a professional manner Strong communicator Reliable, punctual, and invested in the success of their fellow students Be able to work independently Expected dates of employment: May 12 - August 1, 2025 Expected number of hours per week: 15 Once again, students are not permitted to work during any time when they are scheduled for a class. * Wage Range: $16.66 - 17.75 per hour, depending on number of terms worked at DigiPen Requirements to Apply: Resume Cover Letter Current Semester Academic Schedule Working Conditions: The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, and/or crouching; and fine finger dexterity. May need to lift up to 25 lbs. Generally, the job requires 80% sitting, 10% walking, and 10% standing. DigiPen Student Employee Academic Requirements: Are currently a Matriculated student at DigiPen Institute of Technology Good Academic Standing - not on Academic Warning as defined in DigiPen Course Catalog A minimum cumulative GPA of 2.5 or higher Have taken and passed CS-260 and/or CS-261 with a B or better Requirement Exceptions: It is possible to still be selected for a position with DigiPen if you do not meet the requirements above, so don't let that dissuade you from applying! Once you have applied for - and the supervisor decides to offer you - a position, we will contact the necessary managers (Supervisor, Department Chair, and/or the Dean of Faculty) to complete and sign off on an Academic Waiver form, depending on which requirements need to be waived. Once the Waiver is returned to us, we'll continue you through the hiring process. Equal opportunity is a priority of DigiPen Institute of Technology, as the institution is committed to fostering a positive learning environment for all. The Institute's intent is to hire the most qualified individuals for faculty and staff, attracting candidates from diverse backgrounds of race and ethnicity, gender, gender identity, gender expression, sexual orientation, age, socioeconomic status, veteran status, nationality, culture, religion, and physical abilities. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is adding a Senior Computer Vision Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models using 3D data Write software to prepare, clean, and sample data for use in developing predictive models Use cloud resources (e.g., Amazon Web Services) to prepare and process data Query and extract data from databases (Snowflake and MongoDB) Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm Solve challenging, uncharted problems Work in an environment that thrives on teamwork and continuous learning opportunities Requirements: Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or PhD in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Digital Technology Initiative - Electrical and Computer Engineering Faculty Search University of Miami: College of Engineering Location: Coral Gables, FL Job Summary The College of Engineering (CoE) at the University of Miami (Coral Gables, FL) invites nominations and applications for full-time, tenure-track faculty positions at the rank of Assistant, Associate Professor or Full professor with background and expertise in areas including but not limited to Physical Electronics and Integrated Circuits (e.g., nanotechnology, quantum computing, novel circuits and devices for sensing, learning, inference, and computing/communication), Novel Computing Hardware and Systems (e.g., Hardware designs for AI/ML, energy-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs, autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software/network security, AI for security, software engineering and security). Preference will be given to mid-career faculty applicants, and those with a degree in Electrical Engineering, Computer Engineering or Computer Science. Joint appointments with other departments in the College are possible. The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world. Qualifications Competitive candidates must possess a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering or closely related discipline and work collaboratively to advance the strategic initiatives of the College. The candidate will advise both M.S. and Ph.D. students and develop a high-quality and productive sponsored research program. Competitive candidates will have a significant record of academic accomplishments, a demonstrated ability to work collaboratively, a commitment to inclusive excellence, and a willingness to expand disciplinary boundaries to address complex technical and societal grand challenges. The faculty member will have the opportunity to advance strategic initiatives of the College, and build collaborative efforts with other faculty and corporate partners. Application For full consideration, please upload one single file, max. 5MB with the following; • Cover Letter (discussing your expertise and anticipated contributions at the University of Miami) • Current Curriculum Vitae • Research Statement • Teaching Statements (including teaching philosophy, teaching experience, commitment to effective learning, and, for the senior position, concepts for new courses) • Contact Information (including email and phone numbers, for at least three references) If the file size is larger or you need any technical help with uploading the file(s), please contact Samara Alfonso at coesearch@miami.edu. Initial screening of applications will begin immediately, with hires expected for Fall 2025 or at a later convenient date. If you have any questions, please feel free to contact the Chair of the Search Committee, Dr Manohar Murthi at mmurthi@miami.edu The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Faculty

Provides quality education and maintains high standards of academic excellence in teaching assigned courses in the discipline. The Adjunct hybrid faculty roles teach assigned courses in person and asynchronously online. This role also maintains office hours as assigned. NOTE: Applications must include copies of ALL unofficial transcripts to receive full consideration. Campus Location: Arlington, Virginia Strayer Campus Address: 2121 15th Street North, Arlington, VA 22201 Essential Duties & Responsibilities: Are you looking for a rewarding career where you can change lives? Strayer University is seeking a dynamic Adjunct Faculty member to join our academics team. We are currently in search of a passionate professor for undergraduate and graduate-level Computer Information Systems classes for the upcoming Spring quarter, starting April 7th in a hybrid format . The hybrid format is described as teaching the course in both the in-person and online modalities. This role requires 11 in-person meeting sessions for 2 hours every week held at a predetermined scheduled time (day/evening) at a specific Strayer University Campus . The balance of the course is instructed asynchronously online. Strayer Adjunct Faculty are not just instructors; they are also coaches and mentors. Our faculty members strive to ignite a life-long love of learning in our students and to be flexible with their diverse learning styles. We believe in a strong faculty-student relationship and building a community in the classroom. Teach courses as assigned from a pre-designed curriculum and utilize your professional expertise to provide high-quality instruction. Enhance the strength and effectiveness of the curriculum using technology and videos. Arrive on-campus at least half an hour prior to the start time of in-person sessions per week during the academic quarter. Utilize the online learning platform to enrich the student learning experience for the online component of the course. Be available to students via email, phone, text, and office hours to ensure students receive quality feedback in a timely manner to support their academic success. Establish high standards and ensure students understand how they will be evaluated. Adhere to University policies and procedures. Attend faculty meetings and workshops or training as required. Job Skills: Demonstrated knowledge of academic technology. Proficient with Microsoft Office (Excel, PowerPoint, etc.) software and overall computer skills. Demonstrated knowledge of academic evaluation. Proficiency in oral presentation skills, planning, and organizing of course objectives. Must have strong computer skills (Excel, PowerPoint, etc.). Excellent oral and written communication skills. Effective time management skills. Work Experience: Teaching experience at the college level and online teaching experience are strongly preferred. Professional experience in the areas of Cyber Security, Information Assurance, IT Security, Computer Security or Forensic Management is required Requirements for the Following Courses: CIS502: Theories of Security Management: ISC2 SSCP or other ISC2 certification is required CIS333: Networking Security Fundamentals: CompTIA Security+ or TestOut equivalent is required Education: All degrees must​ be conferred and from an accredited institution to be considered. Doctorate degree in Computer Science, Computer Security, Information Technology, Computer Information Systems, Information Assurance, etc. is required CompTIA Security+ or TestOut equivalent Certification and/or ISC2 SSCP or other ISC2 certification required Certificates, licenses, and registrations: Professional certification in discipline specialty (if applicable). Other: Must be able to travel weekly to the required location(s). Must be able to lift 25 lbs. Typical office setting. Mobility within the office including movement from floor to floor. Travel via plane, car, and metro may be required to perform this job. Must be able to work more than 40 hours per week when business needs warrant. Access information using a computer. Effectively communicate, both up and down the management chain. Effectively cope with stressful situations. Strong mental acuity. Regular, dependable attendance and punctuality are essential functions of this job. Other essential functions and marginal job functions are subject to modification. Who we are Work is changing. The economy is rapidly transforming. We’re innovating education and transforming learning to help people prepare for the workforce - today and in the future. About - Careers - Who We Are, Strategic Education, Inc. Leadership behaviors At Strategic Education, Inc., our leadership behaviors guide everything we do and the culture we’re building. They unite us in delivering on our mission. They reflect the way we approach our work and treat each other. They inspire us to do the right thing for our students, as well as for our employees. They represent who we are and what we aspire to be. About - Careers - Leadership Behaviors, Strategic Education, Inc. #LI-LJ1 SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. Careers - Our Benefits, Strategic Education, Inc Strayer University Adjunct Faculty are compensated based on the number and type of course(s) that are taught in a given quarter. Currently, compensation for courses ranges from $2,300 - $3,100. If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com .

As a critical member of the technology innovation leadership team in the fast-growing OPPO Research Center, located at Bellevue, WA, you will be responsible for continuous, successful technology research and development on computer vision domain, to support the company’s products and future directions, including smartphones, internet of things and next generation smart devices. Your role will act like a bridge between academic state-of-art research topics and solid industry near-future solutions. You are responsible for the advancement of OPPO’s software technology on computer vision domain. You will be expected to research academic and industrial trends, make technology/design choices, planning, designing and architecting of key technologies deployed to OPPO existing and future products. Requirements Will Be Responsible For Advance OPPO’s software technologies in the field of computer vision. Research and develop cutting-edge computer vision models (e.g., CNNs, generative AI, multi-modal architectures) for integration into OPPO’s hardware and software ecosystems. Optimize models for mobile deployment (e.g., quantization, pruning, NPU acceleration) to ensure efficient performance on edge devices. Investigate academic and industry trends to inform technology and design decisions, and lead the planning, design, and architecture of core computer vision technologies. Foster innovative collaborations, including brainstorming sessions, research topics, market studies, and forums, across internal and external teams. Collaborate closely with engineering managers and project teams to ensure software architecture and design are accurately implemented and evolve over time without compromise. Drive the end-to-end lifecycle of products and features, from concept to deployment. Basic Qualifications M.S. in Computer Science, Engineering, or equivalent experience on related field with a focus on Computer Vision. 5+ years of experience developing software in C++ for commercial or industrial applications in computer vision, deep learning, robotics, or image/video processing. Deep expertise in deep learning for computer vision applications, along with strong knowledge of classical computer vision techniques. Proven experience designing efficient and robust enterprise software solutions. Ability to create functional prototypes of key algorithms or models using C++ or Python. Ability to creatively, efficiently, and effectively resolve complex technical issues. Preferred Qualifications Experience with mobile and embedded development environments. Track record of academic contributions (e.g., CVPR, ICCV, ECCV papers) and industrial contributions (e.g., open-source projects, patents) in computer vision and machine learning. Expertise in mobile ML frameworks such as TensorFlow Lite, Qualcomm SNPE/QNN, or MediaTek APU. Familiarity with traditional graphics render pipeline such as OpenGL, D3D and Vulkan. Collaborative experience with academic institutions. Strong persuasive communication and interpersonal skills. Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

REQUIREMENTS Qualified applicants will have a degree in Electrical Engineering, Computer Science or a related field of study (advanced degree preferred but not required), be a member of the patent bar and have patent drafting and prosecution experience. Candidates must also have strong academic credentials, outstanding written and verbal communication skills, and excellent interpersonal skills. SUMMARY Vanguard-IP specializes in the placement of IP/Patent professionals nationwide. Our focus provides us with a deeper knowledge of our clients' needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships also gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high level contacts to get your questions answered. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. CONFIDENTIALITY At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. We will always contact you to obtain explicit prior authorization before submitting your resume to any of our clients. **Should you have an interest in a similar position in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest.**

A top-rated IP Boutique Firm. Per Vault: Top 10 Best Mid-Size Law Firms to Work For. Solid patent prosecution practice, with high activity in the life sciences and high tech. Very busy at the PTAB and ITC. REQUIREMENTS •    A degree in electrical engineering, computer science, mathematics, physics or a related field of study •    Prior patent prosecution experience •    Strong written and verbal communication skills •    Ability to collaborate and work effectively in team settings •    Sound judgment, maturity, and an inquisitive nature •    Interpersonal skills necessary to work effectively with business leaders, attorneys, scientists, engineers, inventors, and patent examiners •    A strong work ethic paired with the ability to juggle multiple job responsibilities SUMMARY Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent professionals nationwide. Our concentrated focus in these areas enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high-level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. CONFIDENTIALITY At Vanguard-IP, we respect the confidentiality of every candidate who contacts us.  Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. **Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets.  Please apply now and our team would be happy to review your information for this or other openings in your location of interest.

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning , and smart connectivity.   We are seeking a passionate and skilled Senior Staff Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond.   Key Responsibilities: Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms. Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation. Develop and integrate custom inference kernels targeting GPU or custom AI accelerators. Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies. Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration. Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines. Minimum Requirements: Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field. Strong coding skills in C++ and Python with a focus on performance and scalability. Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM. Familiarity with CUDA programming and parallel computing principles. Solid understanding of model inference workflows and system-level performance tuning. Experience in quantization-aware training or post-training quantization. Effective communicator and collaborative team player. Preferred Qualifications: Hands-on experience with deploying vision-language or large multimodal models. Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization. Experience in autonomous driving, robotics, or edge AI applications. Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR). Background in system profiling, latency modeling, or compiler-level optimization.   What do we provide: A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities   The base salary range for this full-time position is $244,140-$413,160, 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.

Acuity is seeking a Computer Operator to handle the operation of the computer and all peripheral equipment so as to assure optimum throughput of both online and batch jobs. This role is required to work 3rd shift hours (Monday-Friday 11pm-7am). This role is also responsible for building security of corporate headquarters on occasional weekends. ESSENTIAL FUNCTIONS: Operate the system hardware. Knowledge of computer hardware and software including, but not limited to, MVS mainframe, Zeke/Zena scheduling, Xerox Highspeed printers. Monitor system performance to assure compliance with uptime standards. Check results of processed jobs. Contact proper personnel to assist in software or hardware problem resolution. Follow the batch processing schedule and document the successful/unsuccessful completion of events. Work with Tech Support on fixing system related problems. Stay current on all changes to both hardware and software. Deliver output to the proper locations. Handle basic maintenance and cleaning of the equipment. Notify Job Scheduler or Computer Operations Manager of any problems; provide input to improve the operating efficiency of the data center. Handle the problem reporting system after hours. Act as building security on weekends. Answer telephones. Act as the Help Desk after hours and on weekends. Regular and predictable attendance. Performs other duties as assigned. EDUCATION: Associate Degree majoring in MIS or Computer Operations with a high degree of accomplishment. EXPERIENCE: 0-2 years in Information Systems including some time or all of this time in Computer Operations is preferred. OTHER QUALIFICATIONS: Ability to solve problems in an analytical way. Good oral and written communication skills. Ability to work with minimal supervision during the night and weekend hours. Ability to lift boxes weighing 50 pounds. Ability to complete building security rounds twice per shift. Acuity does not sponsor applicants for U.S. work authorization.* This job is classified as non-exempt. We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved. If you have a disability and require reasonable accommodations to apply or during the interview process, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.

Position at MTA Headquarters JOB TITLE: Computer Specialist (SW) I-III DEPT/DIV: Transportation IT Products SUPERVISOR: Manager, Product Development LOCATION: 2 Broadway, New York, NY 10004 HOURS OF WORK: (7 hours/day) Salary range: Computer Spec. (SW) 1 TWU: $99,579 - $107,924 Computer Spec. (SW) 2 TWU: $103,742 - $116,216 Computer Spec. (SW) 3 TWU: $112,029 - $126,386 Computer Spec. (SW) 4 TWU: $120,179 - $144,711 SELECTED CANDIDATE WILL BE APPOINTED TO MaBSTOA PAYROLL The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. Position Purpose: Contribute to software development methods, tools, and techniques, and apply agreed standards and tools to achieve well-engineered outcomes. Critical/Desired Skills: Asp.Net Oracle, MS SQL Server Development experience with Mobile devices Responsibilities: This class of positions encompasses highly technical or supervisory responsibilities for the design, implementation, enhancement, maintenance, and analysis of software systems performed at varying levels of difficulty and with varying degrees of latitude for independent initiative and judgment. There are four Assignment Levels within this class of positions, differing according to the complexity and sophistication of the hardware and software systems and the amount of supervision required. The following are typical assignments within this class of positions. All personnel perform related work and, when necessary, perform the duties of lower titles and Assignment Levels. Assignment Level I Under supervision, with considerable latitude for independent action or the exercise of independent judgment, is responsible for the design, implementation, enhancement, and maintenance of either Database Management Systems, Operating Systems, or Data Communications Systems, Applications, and/or related software functions. May supervise a unit engaged in work related to the above areas or may independently perform related work of a highly complex, technical nature. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level II Under general supervision, with wide latitude for the exercise of independent initiative and judgment, may supervise a unit engaged in systems development work of great difficulty, and is responsible for the design, implementation, enhancement, and maintenance of either the Database Management Systems, Operating Systems, Data Communications Systems, Applications, and/or related Software functions. In a multi-programming computer system, serves as the project leader performing complex staff work and the full range of computer systems analysis functions, utilizing general Software and software systems analysis in highly complex systems development projects, or supervises the activities of a number of applications programming units engaged in work of more than ordinary difficulty, complexity, and responsibility in a multi-programming electronic computer installation. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level III Under general supervision, with broad scope for the exercise of independent initiative and Judgment is responsible for the design, implementation, enhancement, and maintenance of either Database Management Systems, Operating Systems, or Data Communications Systems, Applications, and/or related software functions. Supervises the units responsible for systems development and applications programming, instructing, directing and checking the work of subordinates, or is routinely responsible for the coordination and direction of data processing projects, organized to plan and implement complex integrated software development projects in a multi-programming computer system operating in an on-line mode in a communications environment. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level IV (See Special Note Under Qualification Requirements) Under minimum direction, with the broadest scope for the exercise of independent initiative and judgment, holds senior-level technical responsibility for extremely complex and ongoing software functions related to Systems Analysis, Data Administration, Database Management Systems, Operating Systems, Data Communications Systems, On- Line Applications Programming contingency planning, evaluation, and selection of telecommunications, local area networks, computer hardware and software products, and quality assurance functions. Routinely serves as an in-house expert and authority in the aforementioned extremely complex and highly specialized areas. Coordinates multiple ongoing projects of extraordinary technical complexity, encompassing multiple areas of information processing technology. Directs major undertakings that run in a large multi mainframe data center, and/or an environment of distributed processing systems combining numerous types of hardware and software. May supervise a unit or units engaged in work related to the aforementioned complex software functions. In the temporary absence of the supervisor, may perform the duties of that position. Qualification Requirements: A baccalaureate degree from an accredited college, including or supplemented by 24 semester credits in computer science or a related computer field and two years of satisfactory full-time computer software experience in computer systems development and analysis, applications programming, database administration, systems programming, data communications, including one year in a project leader capacity or as a major contributor on a complex project; or A four-year high school diploma or its educational equivalent and six years of satisfactory full-time computer software experience as described in "1" above, including one year in a project leader capacity or as a major contributor on a complex project; or Education and/or experience equivalent to "1" or "2" above. College education may be substituted for up to two years of the required experience in "2" above on the basis that 60 semester credits from an accredited college is equated to one year of experience. A master's degree in computer science or a related computer field may be substituted for one year of the required experience in "1" or "2" above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project. Special Note To be eligible for placement in Assignment Level IV, in addition to the Qualification Requirements stated above, individuals must have one year of satisfactory experience in a project leader capacity or as a major contributor on a complex project in data administration, database management systems, operating systems, data communications systems, capacity planning, and/or online applications programming. OTHER INFORMATION: Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission"). Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Computer Engineer - Mid-level 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 Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis. The Opportunity: Join a dynamic team supporting the customer’s launch site. Computer Engineers perform a variety of engineering analysis, software, hardware, video, telecom, or network development, integration, testing, and maintenance tasks for purposes of integrating hardware and software products into the customer environments or stand-alone networks. Identify and resolve a full range of complex computer engineering problems. Define, collect and implement computer engineering customer requirements for projects. Design and perform complex installations and configurations of software and hardware products. Participate in discussions on component procedures and practices, and interface with other components. 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. Qualifications: 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 This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . The proposed salary range for this position is: $82,100-$172,400 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.

We're looking for a motivated research engineer to help build the next generation of AI-powered robots through high-fidelity simulation and large behavior models. You'll work at the intersection of machine learning, computer vision, robotics, and physics-based simulation to enable scalable, generalizable robot policy development. Experience with simulation or embodied systems (robots, autonomous vehicles, etc.) is a strong plus. If our mission of revolutionizing robot learning through simulation and large behavior models resonates with you, we'd love to talk about how we can build it together. Responsibilities Develop and manage physics-based robot simulation environments using Drake, enabling scalable training and evaluation of learning-based behavior models in realistic, physically grounded scenarios. Integrate and validate learned policies in simulation, assessing real-world applicability, generalization, and performance across diverse environments, tasks, geometries, and sensor viewpoints. Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, 3D, video, actions) models at scale. Train, fine-tune, and serve robot foundation models with a strong MLOps approach. Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack. Collaborate with internal research scientists and our partner labs at top academic institutions and Toyota research labs to drive groundbreaking research at scale. Qualifications 2+ years of professional engineering experience at an AI/ML-focused organization. Strong proficiency in Python and experience with simulation frameworks such as Drake, PyBullet, MuJoCo, or similar. Hands-on experience with robotics simulation, reinforcement learning, or large-scale machine learning. Familiarity with the latest methods in behavior learning and/or computer vision. Experience integrating ML models into simulated or real-world environments. Extensive practical experience with PyTorch. Ability to alternate between rapid prototyping and production-quality implementation. Demonstrated understanding of software engineering best practices, including testing, CI/CD, and documentation. Bonus Qualifications Experience deploying models on embodied systems/robots. Experience working in mixed teams of research scientists and engineers. Exposure to MLOps tools and infrastructure (e.g., Docker, EC2, S3, Sagemaker). Experience with Bazel. The pay range for this position at commencement of employment is expected to be between $152,000 and $228,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.