Perception Tech Lead – Autonomy Algorithms

Job Description

Role Overview:  

As the Perception Technical Lead you will be the lead individual contributor responsible for the fallback perception system in the Autonomy Algorithms team within Embodied AI.  You will be responsible for all aspects of the fallback perception system, from design through to validation and will use your skills to align technical approaches across teams, define the vision and multi-quarter capabilities roadmap, drive design quality from architecture through validation, and contribute to shipping 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 perception component. 

• Architect and implement end-to-end system designs and interface contracts for fallback perception and prediction components, 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 perception, 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 in the areas of perception, prediction, and tracking  

• Broad exposure to the end-to-end autonomy stack, from perception through controls 

• Deep expertise in ground up Perception system design 

• Familiarity with modern AI/ML approaches including diffusion, transformers, and auto-regressive concepts 

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