Software Engineer, Autonomy Behavior Validation
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 123200 - 189100
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
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.
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 Youll 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
- Masters degree in Computer Science Software Engineering Data Science or related fields.
- 13 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 $123200 to $189100. 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 were looking out for your well-beingat work and at homeso 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.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
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.
Accommodations
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Required Experience:
IC
Key Skills
- Python
- SOC
- Debugging
- C/C++
- FDA Regulations
- Minitab
- Technical Writing
- GAMP
- OS Kernels
- Perl
- cGMP
- Manufacturing
About Company
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