Tech Lead Autonomy Algorithms at General Motors

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous Vehicles, Artificial IntelligenceIndustries

Requirements

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

Responsibilities

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
Provide cross-functional technical leadership for the fallback autonomy stack, the Software Architecture & Acceleration group, and ADAS Mission Planning
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

Skills

Key technologies and capabilities for this role

Autonomy AlgorithmsFallback PerceptionPredictionPlanningControlsADASSystem ArchitectureSoftware EngineeringSimulationHardware-in-the-LoopContinuous IntegrationAutomated TestingCode ReviewsRoot Cause Analysis

Questions & Answers

Common questions about this position

What qualifications are required for the Tech Lead Autonomy Algorithms role?

Candidates need a 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, extensive background with C++/Python in a large distributed development environment, and passion for self-driving technology.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like for this team?

The role involves developing and overseeing top-tier software engineers within a dynamic, fast-paced, and inclusive setting, helping define, build, and embody GM engineering culture and principles.

What makes a strong candidate for this Tech Lead role?

A strong candidate has bonus experience in robotics, ROS, or the AV/ADAS industry, building and managing engineering teams, and writing modern production C++ applications, in addition to the core qualifications.

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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