✦ Luna Orbit — AI & Machine Learning

Senior AI/ML Fullstack Engineer - AV ML Infra

at General Motors

📍 Sunnyvale, California, United States of America Unknown 💰 $170K – $261K USD / year Posted March 20, 2026
Salary $170K – $261K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves designing and building end-to-end AI/ML infrastructure systems for autonomous vehicles, supporting simulation, data science, and scalable ML workflows.

  • Designing end-to-end software products
  • Building scalable backend services
  • Collaborating with product teams
  • Mentoring junior engineers
  • Supporting ML experimentation

The environment includes cloud platforms, ML frameworks, simulation tools, and scalable backend systems focused on autonomous vehicle AI infrastructure.

The ideal candidate is a senior software engineer with experience in full-stack development, cloud infrastructure, and AI/ML platforms. They should have a strong background in building scalable systems for autonomous vehicle applications and data science workflows.

Full-Stack DevelopmentWeb ApplicationsAPIsCloud Infrastructure
ML PlatformsML InferenceML TrainingData ScienceSimulation Workloads
Cloud PlatformsSimulation ToolsML Frameworks
Full-Stack DevelopmentWeb ApplicationsAPIsCloud InfrastructureML PlatformsML InferenceML TrainingData ScienceSimulation Workloads
Full-Stack DevelopmentWeb ApplicationsBackend ServicesAPIsCloud InfrastructureML PlatformsML InferenceML TrainingData ScienceSimulation Workloads
collaborationmentoringsystem designtechnical depthproduct impact
Industry Automotive / Mobility / Autonomous Vehicles
Job Function Developing AI/ML infrastructure for autonomous vehicle systems
Role Subtype Software Engineer
Tech Domains Active Directory, Microsoft 365, Azure, Amazon Web Services, Kubernetes
Full-Stack DevelopmentWeb ApplicationsAPIsCloud InfrastructureML PlatformsML InferenceML TrainingData ScienceSimulation WorkloadsSystem DesignSoftware EngineeringAI InfrastructureML InfrastructureAutonomous VehiclesData Science Platformsfull-stack developmentweb applicationscloud infrastructureML platformsML inferenceML trainingdata sciencesimulation workloadssystem design

Lack of experience in full-stack development, No cloud infrastructure experience, No background in AI/ML platforms, Unwillingness to work on autonomous vehicle systems

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