Senior Software Engineer – ADAS/AV Simulation

General Motors • Warren, MI

1d

About The Position

As a Senior Software Engineer on our ADAS/AV Simulation team, you’ll architect, build, and maintain modern software systems that power our advanced driver assistance and autonomous vehicle system simulations and connect seamlessly with our company’s broader cloud and services ecosystem. Partnering with automotive domain experts, you’ll design robust, scalable solutions—APIs, microservices, data pipelines, and tooling—that accelerate simulation workflows, enable real-time integration, and drive continuous delivery of new capabilities. Joining our team means shaping the future of automated and assisted driving simulation—driving innovation through clean code, scalable architecture, and collaboration across a global organization.

Requirements

• B.Sc. Computer Science, Computer Engineering or other Engineering with software experience
• 5+ years of professional software engineering experience, with expertise in C++ and/or Python
• Excellent communication skills, both oral and written
• Strong background in version control systems (Git) and modern CI/CD workflows (Jenkins, GitHub Actions, etc.)
• Demonstrated ability to keep multiple projects on track, well organized and documented through all phases from definition/initiation to completion.
• Demonstrated experience designing and integrating complex systems and systems of systems

Nice To Haves

• Master’s degree in Computer Science, Systems Engineering, or a related discipline
• 5+ years experience with Active Safety or Autonomous Driving simulation tools in HIL/SIL setups, such as CarSim, IPG CarMaker, Carla, Applied Intuition, MSC Vires, dSPACE ASM
• Proficiency with containerization (Docker) and orchestration (Kubernetes, ECS, or similar)
• Familiarity with RESTful/gRPC API design, automotive CAN bus communication, and/or automotive Ethernet
• Experience in application of Systems Engineering principles

Responsibilities

• Collaborate with active safety engineers, test engineers, and cloud teams to define and prioritize simulation platform features
• Architect and implement modular, service-oriented software (APIs, microservices) for simulation lifecycle management
• Build and maintain CI/CD pipelines, automated test suites, and deployment tooling (containers, orchestration)
• Troubleshoot, debug, and optimize simulation tools across Windows, Linux, and cloud environments
• Lead code reviews, enforce best practices, and mentor engineers to uphold high code quality standards
• Gather, organize, and act on user feedback to continuously improve usability, reliability, and simulation user experience

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level