Senior Machine Learning Engineer - Model Optimization & Deployment (adas/autonomous Driving)

Lucid Motors

Southfield, MI, United States
On-site
Perception model integration
Model optimization and compression
Inference pipeline optimization
Lucid Motors is seeking a Senior Machine Learning Engineer specializing in model optimization and deployment for their advanced driver-assistance systems (ADAS) and autonomous driving technologies. The role involves integrating and optimizing perception models, collaborating with cross-functional teams, and ensuring performance on automotive-grade hardware

Job Summary

  • Drive the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems.
  • Optimize inference pipelines using CUDA, TensorRT, mixed-precision, quantization, and model pruning/distillation techniques for real-time performance.
  • Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.

Matching Summary

Match Score: 85

Lucid Motors is seeking a Senior Machine Learning Engineer specializing in model optimization and deployment for their advanced driver-assistance systems (ADAS) and autonomous driving technologies. The role involves integrating and optimizing perception models, collaborating with cross-functional teams, and ensuring performance on automotive-grade hardware.

Skills & Requirements

Must-have

  • Perception model integration
  • Model optimization and compression
  • Inference pipeline optimization
  • CUDA and TensorRT
  • Quantization and model pruning
  • CI/CD pipelines for deployment

Nice-to-have

  • Automotive-grade hardware
  • Safety-compliant solutions
  • Scalable deployment and validation

Key Requirements

  • Senior ML Engineer or strong ML Engineer
  • Experience with model optimization and compression
  • Experience with CUDA, TensorRT, quantization, pruning
  • Experience building CI/CD pipelines

Work Rights

Not specified

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