General Motors

Senior Autonomy Behavior Validation Engineer

General Motors  •  $129k - $198k/yr  •  Sunnyvale, CA (Onsite)  •  7 days ago
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Job Description

Role

As a Senior Autonomy Behavior Validation Engineer on the Software Validation teamwithin 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 willleverageyour experience in software engineering to convert validation strategies into well-architected, automated pipelines and toolsthat 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 willbe responsible forshaping thefuture ofevaluation methodologies for ML systems, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

About the Organization

The Autonomous Vehicle (AV) organizationis dedicated to advancing the development of autonomous vehicles throughcutting-edgesimulation technologies and novel iterative development processes.

The Software Validation teamfocuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.

WhatYou’llDo

  • Build validation critics and agentic workflows to evaluate autonomy behavior, automate scenario review, and accelerate validation flows.

  • Drive simulation-based ML evaluation at scaleby 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 pipelinesthat execute high-quality AV behavior analysis for continuous and scaled software release cycles.

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

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

Your Skills & Abilities

  • 5+ years of experience and MS/PhD inComputer Science, Machine Learning, Robotics, Software Engineering, Data Science, ora relatedfield.

  • 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 codefor data processing, backend services, or scientific/analytical workflows.

  • Hands-on experience usingAI agents, LLM-based tools, or workflow orchestrationto automate parts of the development, validation, or operations lifecycle.

  • Experience working with large datasetsto derive insights, build analyses, or drive decisions.

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

  • Ability to adapt andoperateunder 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 experiencebuilding automation, internal tools, or data/analysis pipelines.

  • Proventrack recordof successful software engineering on a safety-criticalor high-reliabilityproduct, especially as it relates to verification and validation tools, testing frameworks, or CI/CD automation.

  • Reusable internal libraries or frameworksthat 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 environmentsor simulation-based testing.

  • Experience developing dashboards and data visualizationsusing tools such as Looker,Jupyternotebooks, or similar platformsto 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 GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources

Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

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General Motors

About General Motors

General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.

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Industry
Automotive & Mobility
Company Size
10,000+ employees
Headquarters
Detroit, Michigan
Year Founded
Unknown
Website
gm.com
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