Software Engineer, Autonomous Vehicles Software Systems - Early Career

General Motors is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. As a Software Engineer on the Software Validation team, you will develop methods and tools for validating autonomous vehicle behavior and collaborate with a team to ensure the safety and performance of autonomous systems.

Responsibilities:

• 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

Requirements:

• 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