Senior Machine Learning Engineer - Model Optimization & Deployment (ADAS/Autonomous Driving)
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About the Role
The Role
We are seeking a Senior Machine Learning Engineer (or strong ML Engineer) to drive the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems. This role focuses on model optimization and compression, productizing ML models, ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers, perception engineers, and hardware teams to deliver high-performance, safety-compliant solutions.
Key Responsibilities
- Model Integration & Productization
- Deploy and integrate perception models into Lucid's centralized software stack.
- Transition experimental components into production-ready modules with robust scheduling and diagnostics.
- Model Optimization & Compression
- Optimize inference pipelines using CUDA, TensorRT, mixed-precision, quantization (PTQ/QAT), and model pruning/distillation techniques for real-time performance.
- Profile latency, memory, and compute bottlenecks; improve model and system efficiency on automotive hardware.
- Pipeline Development & Automation
- Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.
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