Software Engineer, Autonomous Vehicles Software Systems - Early Career

Software Engineer

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

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.

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

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

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