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General Motors

Senior State Estimation Engineer

Posted 16 Hours Ago
Be an Early Applicant
Hybrid
Sunnyvale, CA
171K-261K Annually
Senior level
Hybrid
Sunnyvale, CA
171K-261K Annually
Senior level
As a Senior State Estimation Engineer, you will design and deploy advanced sensor calibration and state estimation systems for autonomous driving, lead projects, and mentor engineers.
The summary above was generated by AI
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.
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.
  • Champion innovation in 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.
  • 8-10+ 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 sensor calibration, state estimation, and/or localization, 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
Remote:
This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a 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 - $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.

This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

C++
Python

General Motors Los Angeles, California, USA Office

Los Angeles, CA, United States

General Motors Pasadena, California, USA Office

General Motors Advanced Design and Innovation Campus Office

The teams at the General Motors Advanced Design and Innovation campus in Pasadena, CA, are charged with exploring future transportation, technology and consumer trends and creating conceptual mobility solutions that inspire and inform program teams across the company.

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