Senior Fullstack Engineer - Simulation

• About the role:  

  GM’s simulation team is looking for an experienced Senior Fullstack Engineer to be a key technical leader in our mission to deliver autonomous driving technologies safely. This is a high-impact role where your work directly enables the validation of our most complex AI-driven systems.  
    

  Responsibilities  

  • Technical Vision: Define the architectural roadmap for our Simulation Scenario Definition platform and/or its programmatic Python SDK.  

  • Scalable Tooling: Lead the design and implementation of our next-generation graphical editing tools used by hundreds of engineers to precisely define complex traffic, environment, and sensor scenarios.  

  • Performance & Infrastructure: Drive the evolution of our Python infrastructure, focusing on core algorithms for scenario serialization, validation, and integration with our large-scale cloud compute cluster.  

  • Mentorship: Act as a hands-on mentor, setting the engineering excellence standard for API design, code quality, and testing practices across the team.  

  Requires Qualifications  

  • 5+ years of professional experience in software development, with a significant portion focused on large-scale platforms, tooling, or SDK development.  

  • Proven ability to lead technical architecture and drive complex, multi-quarter projects from concept to production.  

  • Strong experience with front-end engineering for sophisticated graphical applications using TypeScript (e.g., using modern frameworks like React or Vue, and graphical/mapping libraries like WebGL/Three.js, or MapboxGL).  

  • Expert-level proficiency in Python, including deep knowledge of best practices, performance optimization, and building robust APIs/SDKs for external consumers.  

  • A track record of mentoring and coaching mid-level and senior engineers, raising the technical bar, and driving code quality standards within a team.  
      

  Desired Skills (Bonus Points)  

  • Solid foundation in 3D graphics, computational geometry, and/or real-time simulation concepts. 

  • Direct experience developing or extending a Domain-Specific Language (DSL) or high-level scripting language.  

  • Background in game engines (e.g., Unity, Unreal) or other professional simulation software.  

  • Experience in data visualization techniques for large, complex datasets.  

  • Familiarity with the architecture of Autonomous Vehicle (AV) technology (e.g., perception, planning, controls) or other complex robotics/safety-critical systems.  

Compensation:

• The expected base compensation for this role is: $153,200 - $234,100. Actual base compensation within the identified range will