Lucid Motors
Staff Machine Learning Engineer – Productization & Deployment (ADAS/Autonomous D
Lucid Motors, Newark, California, United States, 94560
About Lucid
At Lucid, we are redefining the luxury electric vehicle experience, combiningcutting-edgetechnology with exceptional design to deliver intuitive, safe, and exhilarating mobility. Join our team and help shape the future of autonomous driving.
The Role We are seeking a
Staff Software Engineer
to lead the integration and deployment of advancedperceptionmodels into Lucid’s production ADAS and autonomous driving systems. This role focuses on
productizing ML models , ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers,perceptionengineers, and hardware teams to deliver high-performance, safety-compliant solutions.
Key Responsibilities
Model Integration & Productization
Deploy and integrateperceptionmodels (camera, LiDAR) into Lucid’s centralized software stack.
Transition experimental components into production-ready modules with robust scheduling and diagnostics.
Performance Optimization
Optimizeinference pipelines using CUDA,TensorRT, and mixed-precision techniques for real-time performance.
Implement multithreaded scheduling and containerized deployments for automotive platforms.
Pipeline Development & Automation
Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.
Automate data recording, evaluation frameworks, and regression testing.
Cross-Functional Collaboration
Work closely with ML researchers, software engineers, and OEM partners to ensure seamless integration.
Support SDK development and customer-facing deliverables.
System Diagnostics & Monitoring
Implement runtime performance metrics, logging, and error reporting forperceptionstack reliability.
Required Qualifications
BS/MS in Computer Science, Electrical Engineering, or related field.
7+ years of experience in software engineering forperceptionor autonomous systems.
Strongproficiencyin
C++
and
Python , with experience in ROS1/2, OpenCV, and GPU acceleration.
Hands-on experience with ML frameworks (PyTorch) and inference optimization (TensorRT, CUDA).
Expertisein containerization (Docker), CI/CD, and automated deployment pipelines.
Proven ability to lead technical projects and collaborate across teams.
Preferred Qualifications
Experience with automotiveperceptionsystems and ADAS software stacks.
Familiarity with automotive safety standards (ISO 26262, ASPICE).
Knowledge of multithreaded scheduling and real-time performance tuning.
Background in SDK development andautomotivecustomer integration.
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The Role We are seeking a
Staff Software Engineer
to lead the integration and deployment of advancedperceptionmodels into Lucid’s production ADAS and autonomous driving systems. This role focuses on
productizing ML models , ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers,perceptionengineers, and hardware teams to deliver high-performance, safety-compliant solutions.
Key Responsibilities
Model Integration & Productization
Deploy and integrateperceptionmodels (camera, LiDAR) into Lucid’s centralized software stack.
Transition experimental components into production-ready modules with robust scheduling and diagnostics.
Performance Optimization
Optimizeinference pipelines using CUDA,TensorRT, and mixed-precision techniques for real-time performance.
Implement multithreaded scheduling and containerized deployments for automotive platforms.
Pipeline Development & Automation
Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.
Automate data recording, evaluation frameworks, and regression testing.
Cross-Functional Collaboration
Work closely with ML researchers, software engineers, and OEM partners to ensure seamless integration.
Support SDK development and customer-facing deliverables.
System Diagnostics & Monitoring
Implement runtime performance metrics, logging, and error reporting forperceptionstack reliability.
Required Qualifications
BS/MS in Computer Science, Electrical Engineering, or related field.
7+ years of experience in software engineering forperceptionor autonomous systems.
Strongproficiencyin
C++
and
Python , with experience in ROS1/2, OpenCV, and GPU acceleration.
Hands-on experience with ML frameworks (PyTorch) and inference optimization (TensorRT, CUDA).
Expertisein containerization (Docker), CI/CD, and automated deployment pipelines.
Proven ability to lead technical projects and collaborate across teams.
Preferred Qualifications
Experience with automotiveperceptionsystems and ADAS software stacks.
Familiarity with automotive safety standards (ISO 26262, ASPICE).
Knowledge of multithreaded scheduling and real-time performance tuning.
Background in SDK development andautomotivecustomer integration.
#J-18808-Ljbffr