Contract Computer Vision Deep Learning Engineer Jobs in Pennington, NJ

Job Description

About Us

We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we’re combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up—combining robust backend infrastructure with intuitive, performant user interfaces.

The Role

We’re looking for a Fullstack Engineer with deep expertise in Frontend technology to join our Mapping Engineering team. You’ll be responsible for building web-based tools and interfaces that empower engineers, operators, and stakeholders to interact with our distributed mapping systems. From visualizing map data and pipeline health to enabling map QA and debugging workflows, your work will directly impact the safety and scalability of autonomous driving. You’ll collaborate closely with product managers, backend engineers, machine-learning engineers, domain experts across Localization, Perception, and Simulation to deliver high-quality, user-centric tools that support the full map lifecycle.

What You’ll Do (Responsibilities)

• Architect and implement performant, scalable, and maintainable frontend systems for AV mapping applications across web and embedded platforms.

• Design intuitive, data-rich user interfaces to visualize complex geospatial and mapping data, supporting workflows such as map editing, validation, and release.

• Collaborate closely with backend, simulation, localization, and perception teams to define robust data contracts and ensure seamless integration across systems.

• Lead the frontend development lifecycle for high-impact projects—defining milestones, aligning stakeholders, and mentoring engineers across functions.

• Drive technical excellence in frontend engineering by conducting design reviews, enforcing UI/UX best practices, and setting standards for code quality, testing, and documentation.

• Optimize rendering performance and responsiveness for large-scale map data and real-time updates.

• Serve as a Subject Matter Expert (SME) in frontend architecture, component design, and visualization frameworks within the Mapping organization and across AV domains.

• Contribute to roadmap planning and hiring strategies to grow frontend expertise across the team.

Minimum Qualifications (Must-Have)

• 5+ years of experience building and maintaining production-grade frontend applications.

• Bachelors Degree in Computer Science or related field. Or relevant work experience

• Proven experience owning and shipping user-facing products, ideally in high-performance or data-intensive domains.

• Strong proficiency in modern JavaScript/TypeScript, React (or similar frameworks), and state management libraries (e.g., Redux, Zustand).

• Deep understanding of frontend performance optimization, accessibility, and responsive design.

• Experience working with geospatial data, map rendering libraries (e.g., Mapbox GL, Deck.gl, OpenLayers), or data visualization frameworks (e.g., D3.js).

• Familiarity with RESTful APIs, WebSockets, and GraphQL.

• BS, MS in Computer Science, Human-Computer Interaction, or a related technical field, or equivalent industry experience.

• Demonstrated success in leading frontend initiatives, mentoring engineers, and working with cross-functional stakeholders.

Preferred Qualifications (Nice-to-Have)

• 7+ years of experience building and maintaining production-grade frontend applications.

• Experience with AV mapping systems, HD map data pipelines, or automated cartographic error detection.

• Knowledge of computer vision or machine learning workflows related to map labeling or perception.

• Deep experience with Node.js internals and performance tuning.

• Experience designing performant geospatial services, coordinate systems, and transforms.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

#GM-AV-1

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

The selected candidate will be required to travel <25% for this role.

This job may be eligible for relocation benefits.

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

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