Software Engineer, Autonomous Vehicles Software Systems - Early Career

General Motors; Warren (MI); Hybrid; USD 99,400 - 153,900; Full time

Benefits offered by this job

GM Benefits Package

Job summary

General Motors in the United States is recruiting a Software Engineer for the Software Validation team in the AV organization to develop methods, tools, and processes for validating autonomous vehicle behavior. You will translate validation strategies into production code that analyzes AV behavior and supports high-quality, scalable software releases.

You will collaborate across teams to define best practices, use AI to accelerate development, and contribute to the safety and performance of

Qualifications

• Master's degree expected Spring 2026 in CS, ME, AE, Physics, Data Science, or related fields.
• Experience in software engineering; bonus overlap with systems engineering, robotics, data or statistical analysis.
• Strong skills using AI to accelerate software development.
• Proficient with SQL, Python, and C++ for data analysis and production-quality simulation testing.

Responsibilities

• Develop and prototype strategies to benchmark autonomy systems’ performance.
• Convert validation strategies into production code that analyzes AV behavior.
• Leverage data from in-simulation, on-bench, and on-road testing to inform AI developers.
• Apply data analytics to enable data-driven design, risk analysis and prioritization.
• Build tools to scale testing products for software release teams and Embodied AI.
• Foster cross-team collaboration to establish coding best practices within Software Validation.

Skills

Software engineering experience

AI for SW development

SQL

Python

C++

Data analysis

Analytical thinking

Communication skills

Ambiguity tolerance

Education

Master's degree (Spring 2026)

Tools

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 and 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 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 salary range for this role is $99,400 - $153,900. 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

• 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.

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.

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.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.