General Motors

Software Engineer, Autonomy Behavior Validation

General Motors • $123K — $189K *
Sunnyvale, CA 94087Hybrid
Aerospace & Defense
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Software Engineering, Data Science, or related fields.
  • 1-3 years of professional software engineering experience with automation or data/analysis pipelines.
  • Proficient in leveraging large language models (LLMs) for summarizing and generating reports.
  • Experienced in building scripts that automate tasks across tools.
  • Strong programming skills, specifically in Python and SQL.
  • Dedicated to writing clean and maintainable code for various workflows.
  • Ability to derive insights from large datasets and demonstrate analytical thinking.

Responsibilities

  • Design and deploy metrics and test strategies to evaluate AV behavior in simulation and on-road environments.
  • Translate validation strategies into production-quality code and automation pipelines for continuous software release cycles.
  • Build internal tools and frameworks using AI-assisted workflows to streamline validation processes.
  • Monitor and ensure the quality of behavior validation outputs through automated checks and continuous improvement.
  • Collaborate across teams to establish coding and automation best practices and meet stakeholder needs.

Benefits

  • Comprehensive health and wellbeing benefit programs including medical, dental, and vision options.
  • Health Savings Account and Flexible Spending Accounts available.
  • Retirement savings plan with employer contributions.
  • Paid vacation and holidays to promote work-life balance.
  • Tuition assistance programs for professional development.
  • Employee assistance program to support personal wellbeing.
  • Discounts on GM vehicles for employees.
Full Job Description
Job Description

As a Software 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 automation, internal tooling, and AI-assisted 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 AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

What You'll Do
  • Design and deploy metrics and test strategies at scale to evaluate the behavior of autonomous vehicles in simulation and on-road.
  • Translate validation strategies into production-quality code and automation pipelines that execute high-quality AV behavior analysis for continuous and scaled software release cycles.
  • Leverage AI-assisted and agentic workflows to build internal tools and frameworks that make it easier to author, configure, and deploy metrics, tests, and validation artifacts.
  • Ensure the quality and reliability of behavior validation outputs through monitoring, alerting, automated checks, and continuous improvement of the underlying code and data pipelines.
  • Collaborate across teams to establish coding and automation best practices for the Software Validation organization; and understand stakeholder needs and translate them into robust tools and workflows.


Your Skills & Abilities
  • Master's degree in Computer Science, Software Engineering, Data Science, or related fields.
  • 1-3 years of professional software engineering experience (including internships, co-ops, or research engineering roles) building automation, internal tools, or data/analysis pipelines.
  • Using large language models (LLMs) to summarize results, generate reports, or accelerate analysis,
  • Building simple agents or scripts that chain tools together to complete tasks end-to-end.
  • Strong programming skills in Python and experience with SQL.
  • Experience writing clean, well-tested, and maintainable code for data processing, backend services, or scientific/analytical workflows.
  • 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
  • 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.
  • Experience with robotics, autonomous vehicles, vehicle development, or ADAS development.
  • Experience developing dashboards and data visualizations using tools such as Looker, Jupyter notebooks, or similar platforms to communicate validation results to stakeholders.
  • Experience with modern software engineering practices, such as:
  • Version control (e.g., Git),
  • Code review and continuous integration,
  • Automated testing and monitoring for production data/analysis pipelines.


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 $123,200 to $189,100. 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

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.

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.

General Motors Careers

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.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

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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.

Internship Programs and Employment Benefits

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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