Staff Machine Learning Engineer – (ADAS/Autonomous Driving)

The role

The Staff Machine Learning Engineer will provide technical leadership and architect scalable auto-labeling technologies for ADAS and autonomous driving. This role involves setting technical direction across perception models, 3D scene reconstruction, foundation models, and automated data-generation systems.

What you will do

• Architect scalable auto-labeling systems for perception tasks.
• Drive active learning, human-in-the-loop, and model-assisted labeling strategies.
• Lead the application of Spatial AI and 3D Gaussian Splatting for scene reconstruction and synthetic data generation.
• Lead development of camera, LiDAR, and multimodal perception models.
• Define sensor fusion architectures leveraging camera, LiDAR, radar, GNSS/IMU, and map data.
• Define strategy for applying VLMs, VLAs, and multimodal foundation models to data automation.
• Build AI-powered workflows for dataset search, curation, validation, and quality assurance.
• Architect distributed training, inference, and data-processing pipelines.
• Own the technical vision and roadmap for GeoAI, auto-labeling, and spatial AI initiatives.
• Mentor engineers and build scalable platforms and best practices.

Required qualifications

• MS or PhD in Computer Science, Machine Learning, Robotics, Computer Vision, or a related field, or equivalent practical experience.
• 8+ years of relevant industry experience developing machine-learning, computer-vision, robotics, or large-scale data systems.
• Technical leadership of complex production initiatives.
• Expert software-engineering skills in Python and/or C++.
• Deep hands-on experience using PyTorch or equivalent deep-learning frameworks.
• Deep expertise in computer vision, 3D geometry, multi-view reconstruction, sensor fusion, transformer architectures, and modern perception systems.
• Demonstrated experience architecting, evaluating, and deploying production ML systems using large-scale datasets and distributed compute.
• Proven ability to define technical direction, lead ambiguous cross-team programs, influence architecture and roadmaps, mentor engineers, and communicate effectively.

Nice to have

• Experience in autonomous driving, robotics, mapping, AR/VR, or spatial computing, with ownership of production systems or platform architecture.
• Hands-on experience with 3DGS, NeRF, neural rendering, world models, or synthetic data generation at meaningful scale.
• Experience architecting auto-labeling platforms, active-learning systems, human-in-the-loop workflows, or automated label-quality systems.
• Experience leading camera-LiDAR fusion, depth estimation, 3D detection and tracking, or multimodal foundation-model initiatives.
• Familiarity with VLMs, VLA models, SAM-family segmentation models, distributed computing, Docker, Kubernetes, CI/CD, cloud ML infrastructure, and production observability.

Benefits

• Medical, dental, and vision insurance
• Life and disability coverage
• Paid time off
• Paid holidays
• Paid sick leave
• 401(k) retirement plan
• Salaried/exempt employees accrue up to 160 hours paid time off
• Equity program
• Discretionary annual cash incentive program

About the company

Lucid is creating exceptional mobility experiences through innovation to drive the world forward. The company uses proprietary technology and software-defined vehicle architecture to build award-winning vehicles.