Staff Automation Ai Engineer - Manufacturing Engineering

General Motors Australia & New Zealand

Not specified; not specified; benefits overview av...
Hybrid
10+ years software engineering experience
Domain-specific lora fine-tuning expertise
Python pytorch or tensorflow proficiency
General Motors Australia & New Zealand is seeking a Staff Automation AI Engineer to lead the development of intelligent manufacturing solutions that enhance production efficiency and quality. The ideal candidate will have extensive experience in AI/ML applications within manufacturing environments, along with strong programming and engineering skills. This hybrid role offers opportunities for collaboration and innovative contributions to the future of transportation

Job Summary

  • General Motors is seeking an experienced Automation AI Staff Engineer to drive the next generation of intelligent manufacturing solutions across global production facilities.
  • The role requires designing and implementing domain-specific LoRA fine-tuning architectures and multi-modal AI systems that integrate machine vision, robotics controls, and production telemetry.
  • This position offers a hybrid work arrangement requiring reporting to a specific location at least three times a week with less than 25% travel required.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Staff Automation AI Engineer to lead the development of intelligent manufacturing solutions that enhance production efficiency and quality. The ideal candidate will have extensive experience in AI/ML applications within manufacturing environments, along with strong programming and engineering skills. This hybrid role offers opportunities for collaboration and innovative contributions to the future of transportation.

Salary

Not specified; Not specified; Benefits overview available via Total Rewards resources

Skills & Requirements

Must-have

  • 10+ years software engineering experience
  • Domain-Specific LoRA fine-tuning expertise
  • Python PyTorch or TensorFlow proficiency
  • React TypeScript full-stack development
  • FastAPI backend with async patterns
  • PostgreSQL pgvector optimization
  • Kubernetes deployment orchestration

Nice-to-have

  • Multi-modal transformer architectures
  • CUDA kernel optimization experience
  • Self-supervised learning techniques
  • Model compression and quantization
  • MLOps best practices implementation
  • PLC and HMI controls integration
  • Vision Transformers (ViT) knowledge

Key Requirements

  • 10+ years professional software engineering experience
  • 10+ years specialized AI/ML manufacturing automation experience
  • Deep expertise in LoRA fine-tuning and parameter-efficient training
  • Production experience with React/TypeScript and FastAPI
  • Hands-on experience with Kubernetes and Docker deployments
  • Proven execution of end-to-end automation projects including PLC and robotics

Work Rights

Not specified

Tailored Resume

Cover Letter