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.

OurEmbodied AI teams are redefiningwhat’spossible in driverassistanceand automated driving. We pair human‑centered design with cutting‑edge robotics, optimization, and machine learning to create systems that are not just intelligent, but intuitive and trustworthy.

TheSecondary Driving System (SDS) is an independent perception, planning, and controls stack that keeps the vehicle operating safely for a limited time if the primary driving system becomes unavailable, requesting driver takeover and, when needed, executing aMinimal Risk Maneuver (MRM) to bring the vehicle to a safe stop.

As aSenior Software Engineer on theSecondary Driving System team within Embodied AI, you will be a strong individual contributor working across the autonomy stack, with a particular emphasis onmotion planning and controls in a robotics context.You’lldesign and build production‑quality C++ software that spansML‑basedperception, tracking, prediction, planning, and controls , enabling SDS to safely handle faults and reach a minimal risk condition when the primary system cannot.

You will collaborate closely with experts inperception, state estimation, vehicle dynamics, systems engineering, and safety to ship robust, fail‑operational behaviors for Super Cruiseand future products.

Whatyou’llbe doing:

• Develop and optimize production‑grade C++ software across the SDS stack, integrating ML‑based perception (object detection, tracking, prediction, lane and road features) with analytical planners and classical controllers under tight latency and compute constraints.

• Design and implement planning andcontrolsalgorithms for the Secondary Driving System, including lane‑keeping, obstacle avoidance, lane changes to shoulder, and controlled stopping behaviors tailored to MRM scenarios and limited operational horizons.

• Work with partners instate estimation, mapping, localization, and autonomy management to define and implement interfaces and contracts that enable reliable SDS engagementin response to primary stack failures.

• Own features end‑to‑end requirements clarification, design reviews, implementation, simulation/HIL bring‑up, on‑road testing, and iteration based on metrics and driver feedback.

• Apply and championsoftware engineering best practices clean interfaces, code reviews, automated testing, continuous integration, performance profiling, and observability for on‑road incidents.

• Analyze and debug complex integration issues , using logs, telemetry, and principled experiments to root‑cause problems at the intersection ofperception, planning, controls, and vehicle behavior.

• Partner with Safety and Systems Engineering to ensure SDS behaviors and software designs align withfunctional safety , redundancy, and MRM requirements for fail‑operational Eyes‑Off features.

• Mentor and unblock other engineers through design discussions, code reviews, and example implementations, helping raise the bar for robustness, clarity, and execution speed on the team.

Qualifications:

• BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field; or equivalent practical experience.

• 5+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or complex real‑time/control systems.

• Strongproficiencyinmodern C++ (e.g., C++14/17 or later), with experience in large, multi‑contributor codebases; familiarity withPython for tooling, prototyping, and data analysis.

• Experience in motion planning and controls,including: Trajectory generation and tracking, Optimal control / model‑predictive control / trajectory optimization, Classical and modern feedback control design (e.g., PID, LQR, robust control), Handling kinematic and dynamic constraints for ground vehicles

• Experience integrating withperceptionand predictionpipelines (object detection, tracking, prediction,laneor road geometry), even if your core focus is planning and controls.

• Demonstratedtrack recordof deliveringreliable, high‑quality autonomous or robotics software , including testing strategies, metrics, and performance tuning under latency/compute constraints.

• Strongcommunicationand collaboration skills , with the ability to work across disciplines (ML, systems, platform, safety) and drive clarity in ambiguous technical spaces.

• Passion forautomated driving and robotics , and for building systems that measurably improve safety and driver experience.

Bonus points:

• Background inROSor similar robotics middleware.

• Experience with safety‑criticalsoftware orworking closely with functional safety teams.

• Hands‑on experience with GPU/accelerator‑based ML inference, model deployment, and performance optimization in production environments.

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.

#GM-AV-1

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

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, emailus or call us at 1-800-865-7580. 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.