Software Engineer, Autonomous Vehicles Software Systems - Early Career

General Motors; Sunnyvale (CA); Hybrid; USD 99,000 - 154,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Tuition assistance

Job summary

General Motors in Sunnyvale seeks a Software Engineer for the Software Validation team to advance autonomous vehicle behavior analysis. You will translate validation strategies into production code, build scalable tools, and collaborate across teams to improve testing methodologies.

Ideal candidates have a recent Master’s in CS or related field, strong software engineering experience, and proficiency in C++, Python, and SQL. Experience with AI-driven development and robotics is a plus.

Qualifications

• Master’s degree in CS, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields (Spring 2026).
• Experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, or statistics.
• Strong skills in utilizing AI to accelerate SW development.
• Experience with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products.
• Strong analytical thinking and ability to interpret data to derive insights.
• Ability to adapt under ambiguity and balance prototypes with long-term plans.
• Excellent communication skills across high-level and detailed discussions.

Responsibilities

• Develop and prototype strategies to benchmark autonomy systems’ performance.
• Convert validation strategies into production code that analyzes AV behavior for scalable release cycles.
• Utilize data from simulation, bench, and road testing to provide insights for AI developers to improve stack performance.
• Use data analytics to support data-driven design, validation, and risk prioritization decisions.
• Build tools to scale testing products to additional users like software release and Embodied AI teams.
• Foster cross-team collaboration to establish coding best practices for Software Validation.

Skills

Master's degree in Spring 2026

Software engineering experience

AI for software development

SQL

Python

C++

Analytical thinking

Communication

Education

Master’s degree in Computer Science or related field

Spring 2026 graduation

Tools

SQL

Python

C++

Looker

Jupyter notebooks

Job description

Job Description

Hybrid: This role is categorized as Hybrid/Remote.MI & CA

Role: As a Software Engineer on the Software Validation team within the AV organization, you will play a critical role in the development of methods, tools and processes for the validation of autonomous vehicle behavior. You will leverage your experience in software engineering to convert validation strategies into well-architected and implemented code that analyzes AV behavior. Creating methods an tools to execute comprehensive, repeatable and precise validation for autonomy software and hardware. You will work with a team of engineers to define best practices, raise the bar internally on coding quality, and verify 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 Behavior Validation team focuses on unlocking software launches and continuous release decisions via simulation 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

• Develop and prototype strategies to benchmark autonomy systems’ performance.

• Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles

• Utilize performance data gathered from in-simulation, on-bench, on-road testing, to create actionable insights for AI developers to continuously improve the stack performance

• Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions

• Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI

• Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization

Your Skills & Abilities

• Recently completed or completing Master’s degree in Spring 2026 in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields

• Experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields

• Strong skills in utilizing AI to accelerate SW development

• Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products

• 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 long-term plans on brief time horizons

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

What Will Give You A Competitive Edge

• Proven track record of successful software engineering on a safety-critical projects, especially as it related to verification and validation tools

• Experience with robotics, autonomous vehicles, vehicle development, or ADAS development

• Experience working with robotics simulation environments

• Experience analyzing automotive collision data

• Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.

• The salary range for this roleis$99,400 - $153,900.The actual basesalarya successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits

• 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, tuitionassistanceprograms, employeeassistanceprogram, 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.)

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.

Accommodations

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