State Estimation Engineer - Localization

Job Description

The Role

As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration 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 participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. 

What You'll Do (Responsibilities) 

• Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more.  
• Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles,
• Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios.
• Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure. 
• 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.

Minimum Qualifications (Must-Have) 

• Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field.  
• 2+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure.
• For Senior roles: 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure.
• 1+ years of background in state estimation and/or sensor calibration.
• Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools. 
• Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization.

Preferred Qualifications (Nice-to-Have)

• Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field.  
• 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure.
• AV/ADAS experience is a big plus!

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 L6 role is $138,200.00 to $211,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 
• The salary range for L7 (senior) 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. 

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}. Relocation benefits are available for candidates who qualify under company policy.

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.

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

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