✦ Luna Orbit — AI & Machine Learning

Senior Sub-System Lead Engineer - VMEC

at General Motors

📍 Milford, Michigan, United States of America Hybrid Posted March 14, 2026
Type Full-Time
Experience senior
Exp. Years 8+ years
Education Not specified
Category AI & Machine Learning

This role involves developing and scaling AI inference platforms for GM, focusing on high-performance, reliable ML model serving. The engineer will work on distributed systems, automation, and infrastructure to support advanced AI applications.

  • Develop core platform components
  • Collaborate with ML teams
  • Lead technical initiatives
  • Optimize model serving
  • Ensure platform reliability

The position requires expertise in machine learning, distributed systems, model deployment, auto-scaling, and monitoring. Technologies include Python, C++, and various AI frameworks, with a focus on scalable, reliable AI infrastructure.

The ideal candidate is a senior AI/ML engineer with extensive experience in distributed systems, model serving, and automation. They are proficient in Python and C++, with strong problem-solving skills and a background in developing scalable AI infrastructure.

Machine LearningDistributed SystemsModel ServingPythonAgile
Model OptimizationModel VersioningAuto-scalingMonitoringObservabilitySystems Engineering
JiraModel Serving FrameworksDistributed Computing Platforms
Machine LearningDistributed SystemsModel ServingPythonAgileModel OptimizationModel VersioningAuto-scalingMonitoringObservability
Machine LearningDistributed SystemsModel ServingModel OptimizationModel VersioningAuto-scalingMonitoringObservabilityPythonC++Software DevelopmentRequirements ManagementAgile MethodologiesSystems EngineeringEmbedded Controls
CollaborationProblem-solvingTechnical LeadershipCommunicationTeamworkAnalytical Thinking
Industry Automotive
Job Function AI infrastructure development and ML platform scaling
Role Subtype ML Infrastructure Engineer
Tech Domains Machine Learning, Distributed Systems, Software Development
machine learningdistributed systemsmodel servingmodel optimizationmodel versioningauto-scalingmonitoringobservabilitypythonC++software developmentrequirements managementagile methodologiessystems engineeringembedded controlsagile

Lack of experience in distributed systems or ML infrastructure, No proficiency in Python or C++, Inability to work in a hybrid environment, No experience with model serving or auto-scaling

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