Perception Tech Lead – Autonomy Algorithms

GM-posted 5 days ago

Full-time • Mid Level

Mountain View, CA

5,001-10,000 employees

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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 own ing multi- quarter roadmap designs for the fallback perception component . Architect and implement end-to-end system designs and interface contracts for fallback perception and predicti on 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

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

BS, MS, or PhD in Computer Science, Robotics, or equivalent experience
A demonstrated track record of building high quality autonomous soft ware systems in the areas of perception , prediction, and tracking
Broad exposure to the end-to-end autonomy stack, from perception through controls
Deep e xpertise in ground up 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

A background in robotics, ROS, or the AV/ADAS industry
Experience building and managing engineering teams
Experience writing modern high reliability / production ready applications
Experience developing high-quality software under significant latency and performance constraints
Experience developing or working with safety-critical code

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.
This job may be eligible for relocation benefits.
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.

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