General Motors

Principal Tech Lead Manager - Embodied AI Evaluation Foundations

General Motors$296K — $453K *
US-AnywhereRemote in Sunnyvale, CA
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's or PhD in Computer Science or related field
  • Proven experience in building large-scale systems for distributed teams
  • Familiarity with frontend technologies like React/TypeScript and WebGL/WebGPU
  • Experience with backend technologies including Python and high-throughput data streaming
  • Knowledge of Spark, BigQuery, Kubernetes, and specialized AV data formats
  • Excellent communication skills for diverse team collaboration
  • Experience in accelerating applied research and maintaining best practices

Responsibilities

  • Own architecture and roadmap for evaluation and introspection systems
  • Partner with teams to integrate core metrics and scoring functions into evaluation tooling
  • Build and scale evaluation pipelines on modern cloud/GPU infrastructure
  • Lead development of visualization and introspection tools for model analysis
  • Transform evaluation insights into actionable data and training decisions
  • Align offline metrics with online behavior through collaboration
  • Mentor engineers and set best practices for evaluation and introspection

Benefits

  • Comprehensive health and wellbeing benefit programs including medical and dental
  • Health Savings Account and Flexible Spending Accounts options
  • Retirement savings plan and life insurance
  • Paid vacation and holidays
  • Tuition assistance programs and employee assistance program
  • Company vehicle evaluation program with eligibility to drive GM vehicles
Full Job Description
Job Description

Role:

As a Principal Engineer in the Embodied AI Scaling Foundations organization, you will be a senior technical leader owning the technical vision and architecture for how we measure and visualize AV model performance.

As a full-stack engineer, you will focus on the entire lifecycle of designing, implementing, scaling and iterating on state-of-the-art tools that the entire Embodied AI organization and adjacent teams in the GM AV organization use. You will level up these foundational tools by,

  • Providing high-quality evaluation signal and introspection tools to shorten the experimental path toward the best model.


  • Owning visualization and metrics presentation for our model evaluation loop.


  • Enabling teams to deeply introspect model behavior and reach actionable next steps in as few steps as possible.


You will collaborate closely with modeling and data scaling teams working on sour Compound AI driving models to define how we evaluate them at scale with model-based metrics, end-to-end simulation and accelerate how engineers use that signal and feed back into data, training, and launch decisions.

Your work ensures evaluation, data, and infra form a cohesive evaluation flywheel: better signal 12 better data and training decisions 12 better models 12 better signal.

What Youll Do:

  • Own the architecture and roadmap for evaluation and introspection systems across AV models, ensuring consistent metrics, pipelines, and visualization surfaces.


  • Partner with the broader Embodied AI team and integrate core metrics, scoring functions, and scenario/slice definitions used for regression, launch gating, and safety analysis into evaluation tooling owned by the team.


  • Build and scale evaluation pipelines on modern cloud / GPU infrastructure, with strong observability and cost efficiency.


  • Lead development of visualization and introspection tools that let teams quickly drill from aggregates down to concrete examples, failure modes, and regressions.


  • Partner with Data Consumption/Mining/Quality and Infra Foundations to turn evaluation insights into data and training actions (scenario mining, dataset definitions, training recipes, model selection).


  • Collaborate with simulation and on-road validation teams to align offline metrics and tools with online behavior and improve correlation between evaluation and real-world outcomes.


  • Mentor engineers across Scaling Foundations, set best practices for evaluation and introspection, and act as a domain expert for evaluation-related tooling designs and reviews.


Your Skills & Abilities:

  • Familiarity and experience with at least some of the following key technologies


  • Frontend: React/TypeScript, WebGL/WebGPU (for 3D sensor visualization), Streamlit, Jupyter notebooks


  • Backend: Python, high-throughput data streaming, Parquet for efficient data handling.


  • Data/Infra: Spark for stream processing, BigQuery, Kubernetes, and specialized AV data formats (Rosbags, Protobuf).


  • Bachelors, Masters or PhD degree in Computer Science or related field


  • Experience accelerating applied research in the wild and maintaining best practices while working on tight deadlines.


  • Proven experience in building large scale systems that are performant and used by large distributed teams.


  • Excellent communication skills to effectively collaborate with diverse teams and stakeholders.


  • Plus: Previous experience in Robotics or Autonomous Driving.


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 New York, Colorado, California, or Washington.

  • The salary range for this role is $296,300 to $453,900. 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.

"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."

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

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Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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