Tech Lead Autonomy Algorithms

Role Overview: As a Technical Lead you will be a senior individual contributor in the Autonomy Algorithms team within Embodied AI. In this role, you will provide cross-functional technical leadership for the fallback autonomy stack, the Software Architecture & Acceleration group, and ADAS Mission Planning. You will define the technical vision and multi-quarter roadmap for fail-operational autonomy systems, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals. What you’ll be doing: Shape the technical vision by owning multi-quarter roadmap designs for the fallback autonomy stacks. Architect and implement end-to-end system designs and interface contracts across fallback perception, prediction, planning, and controls 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 existing Active Safety, Driver Assistance, and SuperCruise development Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency. Establish verification and validation strategies for the fallback stacks, including simulation, hardware-in-the-loop, 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. 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: BS, MS, or PhD in Computer Science, Robotics, or equivalent experience A demonstrated track record of building high quality autonomous software systems Broad exposure to the end-to-end autonomy stack, from perception through controls Deep expertise in Controls, Planning, or Perception system design Familiarity with modern AI/ML approaches including diffusion, transformers, and auto-regressive concepts Strong organizational and communication skills. Self-motivation and passion to lead, encourage best practices, and constantly improve Extensive background with C++/Python in a large, distributed development environment 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 building and managing engineering teams Experience writing modern production C++ applications Experience developing high-quality software under significant latency and performance constraints Experience developing or working with safety-critical code 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 $185,600.00 and $285,000.00 USD. 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: 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. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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