Software Engineer; Planning & Controls

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.

Role:

As a Technical Lead you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system.

You will define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

• Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.
• Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
• Lead technical reviews and drive software engineering best practices across the team and the larger organization.
• Contribute to Active Safety, Driver Assistance, and Super Cruise.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
• Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root‑cause investigations for complex integration issues, using data‑driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
• Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top‑tier software engineers within a dynamic, fast‑paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 5+ years of experience in motion planning or related field
• Deep understanding of optimal controls and trajectory optimization algorithms
• Good grasp of classical and modern feedback control theory and techniques
• Solid understanding of vehicle dynamics
• A demonstrated track record of building high quality autonomous software systems
• Deep expertise in Planning and Controls system design
• Experience with C++/Python in a large, distributed development environment
• Strong organizational and communication skills
• Passion for self-driving technology and its potential impact on the world

Bonus points!

• A background in robotics, ROS, or the AV/ADAS industry
• Experience in numerical optimization algorithms
• Experience designing software applications for safety critical systems
• Experience building and managing engineering teams

Remote: This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location 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…