Staff Automation Ai Engineer - Manufacturing Engineering

General Motors

Hybrid (expected to report to a specific location at least 3 times a week)
Domain-specific lora fine-tuning
Multi-modal ai systems development
Production-grade ml infrastructure
General Motors is seeking a Staff Automation AI Engineer to develop advanced AI solutions specifically for manufacturing operations, focusing on areas such as quality inspection, predictive maintenance, and robotics control. The role requires extensive expertise in AI/ML, particularly in manufacturing automation, along with strong programming and systems engineering skills

Job Summary

  • General Motors is seeking an experienced Automation AI Staff Engineer with deep expertise in manufacturing systems and production AI to drive the next generation of intelligent manufacturing solutions.
  • The role involves hands-on technical execution combined with architecting scalable, production-ready AI solutions that impact manufacturing efficiency, quality, and innovation.
  • GM offers a hybrid work model with expected onsite presence at least three times a week and up to 25% travel, along with relocation benefits and a commitment to inclusion and employee well-being.

Matching Summary

Match Score: 85

General Motors is seeking a Staff Automation AI Engineer to develop advanced AI solutions specifically for manufacturing operations, focusing on areas such as quality inspection, predictive maintenance, and robotics control. The role requires extensive expertise in AI/ML, particularly in manufacturing automation, along with strong programming and systems engineering skills.

Skills & Requirements

Must-have

  • Domain-Specific LoRA fine-tuning
  • multi-modal AI systems development
  • production-grade ML infrastructure
  • full-stack AI application development
  • PostgreSQL with pgvector optimization
  • Kubernetes deployments and service mesh
  • manufacturing automation AI solutions

Nice-to-have

  • foundation model fine-tuning techniques
  • multi-modal transformer architectures
  • advanced computer vision architectures
  • self-supervised and contrastive learning
  • CUDA optimization for inference acceleration
  • model compression techniques
  • MLOps best practices and CI/CD pipelines
  • collaborative cross-functional teamwork
  • AI-driven automation platform architecture

Key Requirements

  • 10+ years software or machine learning engineering experience
  • 10+ years AI/ML manufacturing automation experience
  • proficiency in Python and PyTorch or TensorFlow
  • experience with React/TypeScript full-stack development
  • advanced PostgreSQL database engineering skills
  • hands-on Kubernetes and Docker multi-stage builds
  • experience in controls system programming and robotics integration

Work Rights

Not specified

Tailored Resume

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