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

Lucidmotors

Southfield, MI, United States
On-site
Model optimization and compression
Productizing ml models
Inference pipelines using cuda, tensorrt
Drive the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems

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

Drive the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems.

Skills & Requirements

Must-have

  • model optimization and compression
  • productizing ML models
  • inference pipelines using CUDA, TensorRT
  • quantization (PTQ/QAT)
  • CI/CD pipelines for deployments

Nice-to-have

  • real-time performance
  • automotive-grade hardware
  • safety-compliant solutions

Key Requirements

  • Senior ML Engineer or strong ML Engineer
  • experience with model optimization
  • experience with model compression
  • experience with deployment pipelines

Work Rights

Not specified

Tailored Resume

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