Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Description:

As a Senior State Estimation Engineer within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge sensor calibration and state estimation solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle’s location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities.

About the Organization:

The SEAM Embodied AI team is at the forefront of developing groundbreaking sensor fusion systems powering fully autonomous vehicles. We leverage modern approaches that are both practical and theoretically sound, supported with top quality code and rigorous testing. Our solutions enable robust state estimation for the purposes of real-time localization, static and dynamic sensor calibration, as well as onboard and offboard high-fidelity map creation at scale. Join a collaborative and innovative team redefining autonomy through state-of-the-art methodology, delivering solutions that move beyond current technological boundaries.

What You'll Do:

Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more.
Lead and architect complex projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation.
Drive innovation in vehicle motion estimation, determination of vehicle pose in global maps, multi-sensor self-calibration in unstructured environments, state estimation architectures, and fault tolerance strategies suited for real-time onboard deployment.
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering innovation across teams.
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems.
Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones.

Your Skills & Abilities:

Master's or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related technical field.
5+ years of extensive experience developing and deploying advanced state estimation and/or sensor calibration systems, particularly in real-time onboard applications.
Proven track record as a technical leader and expert in state estimation, localization and/or sensor calibration, operating on a wide variety of sensor inputs to perform robustly within safety-critical systems.
Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization.

Bonus:

AV/ADAS experience is a big plus

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the assigned office three times per week, at minimum.

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 the California Bay Area.

The salary range for this role is $170,600.00 to $261,300.00. 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:

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.

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About GM

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Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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.

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