Senior Software Engineer - Motion Planning, Secondary Driving System
General Motors1 day ago
Base Salary
$171k - $261k/yr
Responsibilities
- Develop and optimize production-grade C++ software across the Secondary Driving System stack, integrating ML-based perception, tracking, prediction, planning, and controls.
- Design and implement motion planning and control algorithms for lane keeping, obstacle avoidance, shoulder lane changes, and controlled stopping in Minimal Risk Maneuver scenarios.
- Define and implement interfaces with state estimation, mapping, localization, and autonomy management teams to support reliable system engagement after primary-stack failures.
- Own features through requirements clarification, design reviews, implementation, simulation/HIL bring-up, on-road testing, metrics analysis, and iteration.
- Apply software engineering practices including code reviews, automated testing, continuous integration, performance profiling, and observability.
- Debug integration issues across perception, planning, controls, and vehicle behavior using logs, telemetry, and experiments.
- Partner with Safety and Systems Engineering on functional safety, redundancy, and fail-operational requirements.
- Mentor and unblock engineers through design discussions, code reviews, and example implementations.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field, or equivalent practical experience.
- At least 3 years of professional software engineering experience building production systems in robotics, autonomous vehicles, or complex real-time/control systems.
- Strong proficiency in modern C++, including experience with large, multi-contributor codebases, and familiarity with Python for tooling, prototyping, and data analysis.
- Experience with motion planning and controls, including trajectory generation and tracking, optimal or model-predictive control, trajectory optimization, feedback control, and kinematic and dynamic constraints for ground vehicles.
- Experience integrating perception and prediction pipelines involving object detection, tracking, prediction, and lane or road geometry.
- Demonstrated ability to deliver reliable autonomous or robotics software with testing strategies, metrics, and performance tuning under latency and compute constraints.
- Strong communication and cross-disciplinary collaboration skills.
- Passion for automated driving and robotics and for improving safety and driver experience.
- Preferred: experience with ROS or similar robotics middleware.
- Preferred: experience with safety-critical software or functional safety teams.
- Preferred: hands-on experience with GPU or accelerator-based ML inference, model deployment, and production performance optimization.
Benefits
- Health and wellbeing benefits including medical, dental, vision, Health Savings Account, and Flexible Spending Accounts.
- Retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, and employee assistance program.
- GM vehicle discounts and additional Total Rewards programs.
- Remote work arrangement; employees living within a specified radius of a GM hub are expected to report onsite three times per week or at another frequency set by their manager.
- Relocation benefits are available for candidates who qualify under company policy.
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.