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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 byowningmulti-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 GMengineering culture and principles

Qualifications:

+ BS, MS, or PhD in Computer Science, Robotics, or equivalent experience

+ A demonstrated track record of building high quality autonomoussoftware 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 withC++/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:_

+ 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.

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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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Our Culture

How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/)

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