Software Developer - Simulation Platform (Galileo)

Job Description The Role As a Software Engineer on the Galileo team, you will design, build, and scale the infrastructure and technology that powers testing and evaluation workflows for vehicle release and autonomous driving stack validation and verification. This includes developing and optimizing data processing pipelines, backend services, and internal tools used for large-scale analysis. In this role, you will independently own significant technical areas, drive high-quality implementation from design through production, and partner with cross-functional teams to build systems that support AV / ADAS development. You will help raise the engineering bar through sound technical judgment, strong execution, and mentorship of other engineers. About the Organization The GM AV Simulation team builds world-class testing and analysis products and technologies to help accelerate development of autonomous vehicles and broader vehicle software systems. Our customers range from AV developers understanding the effects of their code on vehicle behavior, to data engineers using our pipelines for evaluation insights, to release teams tracking top-line performance metrics. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that help move GM toward a driverless future. Galileo is building the core infrastructure and architecture to support testing at sca [... source excerpt omitted ...] re delivery through strong engineering practices including code reviews, automated testing, observability, and continuous integration Collaborate across teams to define technical requirements, resolve ambiguous problems, and deliver scalable solutions Debug complex production issues, improve system performance, and strengthen operational excellence for critical infrastructure Mentor other engineers and contribute to a collaborative, inclusive, and high-performing engineering culture Support GM engineering culture through ownership, technical excellence, teamwork, and continuous improvement Your Skills & Abilities BS, MS in Computer Science, Robotics, Software Engineering, or a [... source excerpt omitted ...] AI engineers through data pipelines and analysis workflows Familiarity with web technologies such as Node or React Experience improving reliability, latency, and performance in production systems Experience developing software for high-scale or safety-critical environments Interest in scientific analysis, large-scale evaluation, or data-driven engineering workflows Compensation The salary range for this role is $104,500 and $160,200. 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 individua