Staff ML Engineer - ADAS & Autonomous Driving
Lucid Motors
14 days+
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Benefits offered by this job
Job summary
A leading luxury electric vehicle manufacturer seeks a Staff Machine Learning Engineer in Newark, CA. The role focuses on integrating advanced perception models for ADAS and autonomous driving systems, optimizing performance using CUDA and TensorRT, and building scalable deployment pipelines. Candidates should have substantial experience in software engineering, AML frameworks, and strong skills in C++ and Python. A competitive salary range of $175,900 - $257,950 USD is offered, along with comprehensive benefits including medical and 401k.
Qualifications
- 7+ years of experience in software engineering for perception or autonomous systems.
- Proven ability to lead technical projects and collaborate across teams.
- Hands-on experience with ML frameworks and inference optimization.
Responsibilities
- Deploy and integrate perception models into Lucid’s centralized software stack.
- Optimize inference pipelines for real-time performance.
- Build CI/CD pipelines for deployments, verification, and reporting.
Skills
C++
Python
ML frameworks (PyTorch)
Inference optimization (TensorRT, CUDA)
Containerization (Docker)
Cross-functional collaboration
Education
BS/MS in Computer Science, Electrical Engineering, or related field
Tools
ROS1/2
OpenCV
Job description
A leading luxury electric vehicle manufacturer seeks a Staff Machine Learning Engineer in Newark, CA. The role focuses on integrating advanced perception models for ADAS and autonomous driving systems, optimizing performance using CUDA and TensorRT, and building scalable deployment pipelines. Candidates should have substantial experience in software engineering, AML frameworks, and strong skills in C++ and Python. A competitive salary range of $175,900 - $257,950 USD is offered, along with comprehensive benefits including medical and 401k.
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