Tech Lead Autonomy Algorithms

Job Description

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, a