Senior Autonomy Behavior Validation Engineer

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.

About the Organization

The

Autonomous Vehicle (AV) organization

is dedicated to advancing the development of autonomous vehicles through

cutting-edge

simulation technologies and novel iterative development processes.

The

Software Validation team

focuses 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.

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 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







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