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 own ing multi- quarter roadmap designs for the fallback autonomy stack s .

• 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 stack s , 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 e xpertise 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 r epresentative 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:

• 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.

C ompany 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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