General Motors

Senior Autonomy Behavior Validation Engineer

General Motors$129K — $198K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or related field.
  • Strong programming skills in Python, experience with SQL; exposure to C++ or another compiled language is a plus.
  • Background in autonomous vehicles with experience writing clean, maintainable code.
  • Hands-on experience using AI agents, LLM-based tools or workflow orchestration for automation in development or validation.
  • Ability to work with large datasets to derive insights and drive decisions.

Responsibilities

  • Build validation critics and agentic workflows to evaluate autonomy behavior.
  • Drive simulation-based ML evaluation at scale to ensure comprehensive analysis of deep learning modules.
  • Translate validation strategies into production-quality code and automation pipelines for AV behavior analysis.
  • Ensure the quality and reliability of behavior validation through monitoring and automated checks.
  • Collaborate with cross-functional teams to focus on high-quality, automation-first software.

Benefits

  • Comprehensive health and wellbeing benefit programs including medical, dental, and vision.
  • Retirement savings plan with various options.
  • Paid vacation and holidays along with sickness and accident benefits.
  • Tuition assistance programs to support continuous learning.
  • Employee discounts on GM vehicles.
Full Job Description
Job Description

Role

As a Senior Autonomy Behavior Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in simulation-led validation of autonomous vehicle behavior, with a strong focus on behavioral analysis of ML models, automation, and agentic workflows.

You will leverage your experience in software engineering to convert validation strategies into well-architected, automated pipelines and tools that analyze AV behavior at scale. You will work with a team of engineers to define best practices, raise the bar internally on coding quality and automation, and evaluate the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for ML systems, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

What You'll Do

  • Build validation critics and agentic workflows to evaluate autonomy behavior, automate scenario review, and accelerate validation flows.
  • Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models.


  • Translate validation strategies into production-quality code and automation pipelines that execute high-quality AV behavior analysis for continuous and scaled software release cycles.


  • Ensure the quality and reliability of behavior validation outputs through monitoring, alerting, automated checks, and continuous improvement of the underlying code and data pipelines.


  • Provide cross-functional collaboration across Simulation, Safety, Systems Engineering, and Autonomy focused on high-quality, automation-first software.


Your Skills & Abilities

  • 5+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.


  • Background in autonomous vehicles
  • Strong programming skills in Python and experience with SQL; exposure to C++ or another compiled language is preferred.


  • Experience writing clean, well-tested, and maintainable code for data processing, backend services, or scientific/analytical workflows.


  • Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle.
  • Experience working with large datasets to derive insights, build analyses, or drive decisions.


  • Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions.


  • Ability to adapt and operate under ambiguity, going from quick code prototypes to longer-term, production-ready solutions on brief time horizons.


  • Excellent communication skills, capable of switching between high-level and detailed technical discussions.


  • Curiosity and willingness to learn new tools and domains, especially in autonomous systems, robotics, and safety-critical software.


What Will Give You a Competitive Edge

  • 3-5 years of professional engineering experience building automation, internal tools, or data/analysis pipelines.


  • Proven track record of successful software engineering on a safety-critical or high-reliability product, especially as it relates to verification and validation tools, testing frameworks, or CI/CD automation.


  • Reusable internal libraries or frameworks that are used by other engineers.


  • Demonstrated impact from introducing automation and AI-assisted tooling (e.g., AI agents, AI validation critics, smart monitoring) that improved scale, reliability, or engineering velocity in ML validation workflows.
  • Experience working with robotics simulation environments or simulation-based testing.


  • Experience developing dashboards and data visualizations using tools such as Looker, Jupyter notebooks, or similar platforms to communicate validation results to stakeholders.

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 $129,400 to $198,400. 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: 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

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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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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