General Motors

Senior Software Engineer, Autonomy Evaluation

General Motors • $136K — $199K *
Sunnyvale, CA 94087Hybrid
Manufacturing & Automotive
5 - 7 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • 5+ years in robotics or autonomous systems software, data analysis, or ML evaluation.
  • 3+ years assessing dynamic systems with numerical or ML methods, dealing with time-series data.
  • Strong Python development skills in team environments with emphasis on testing and performance.
  • Proficient with data analysis libraries such as Pandas, NumPy, and SciPy.
  • Comfortable working with C++ codebases, including reading and debugging core algorithms.
  • Demonstrated curiosity for identifying data discrepancies and anomalies.
  • Proven technical leadership experience in architectural decisions and cross-team collaboration.

Responsibilities

  • Architect and implement metrics and analyses for autonomous driving software performance.
  • Design algorithms to summarize and cluster metrics from simulations and road tests.
  • Develop new statistical and machine learning methods for performance quantification.
  • Introspect ML components, evaluating models like perception and planning.
  • Build and maintain dashboards and reports that provide insights for AV development.
  • Leverage advanced models to classify performance and review scenarios.
  • Ensure high technical standards through system design and adherence to best practices.

Benefits

  • Health and wellbeing programs including medical, dental, and vision coverage.
  • Health Savings Account and Flexible Spending Accounts options.
  • Retirement savings plan with contributions.
  • Sickness and accident benefits, and life insurance included.
  • Generous paid vacation and holidays.
Full Job Description
Job Description

The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.

We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.

What You'll Do (Responsibilities)

  • Architect and implement metrics and analyses to introspect autonomous driving software performance at interfaces across the autonomy stack; partner closely with autonomy developers and systems engineers.


  • Design and implement analysis algorithms that summarize, aggregate, and cluster metrics produced by simulations and on-road runs of the autonomy stack.


  • Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.


  • Develop and apply methods to introspect the operation of ML components in the autonomy stack, including evaluation of perception, prediction, and planning models.


  • Build and maintain autonomy evaluation dashboards and interactive reports that provide clear, explainable insights (e.g., trend analysis, drift detection, scenario coverage) for development, verification, and leadership.


  • Leverage vision-language models (VLMs) and large language models (LLMs), where appropriate, to classify autonomy performance, identify critical scenarios, and prioritize validation efforts, integrating human-in-the-loop review where needed.


  • Maintain a high technical standard through thoughtful system design, code reviews, testing, observability, and adherence to software-engineering best practices.


  • Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share best practices around evaluation, metrics, and experiment design.


Your Skills & Abilities (Required Qualifications)

  • 5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception, prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.


  • 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.


  • Strong proficiency developing Python in production team environments, including testing, performance, and code review.


  • Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting.


  • Comfort working withC++ codebases, including reading, debugging, and instrumenting core algorithms.


  • A strong curiosity to question anomalous data and systematically root-cause discrepancies.


  • Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end.


  • Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience


What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience in autonomous driving or field robotics, including visualizing and interpreting results from simulation and field experiments.


  • Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large-scale time-series analysis.


  • Strong intuition for data visualization and the ability to decompose high-dimensional metrics into clear, trustworthy, and consumable views for technical and non-technical audiences.


  • Familiarity with statistical modeling, experimental design, and hypothesistesting for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.


  • Proficiency in C++ and SQL; experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.


  • Experience working with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms.


  • Prior development experience with computational geometry, linear algebra,PyTorch, and ML techniques applied to perception, prediction, planning, or control.


  • Background in modeling agent interaction and contributing torelease gatingand safety decisions for autonomy systems.


  • Experience leveraging AI-assisted development and analytics tools to improve productivity and evaluation coverage.


Hybrid/Remote:

This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week.

*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.

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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

The salary range for this role is : $136,000 - $199,200. The actual base compensation within the identified 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:

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.

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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
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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