Lead Perception Engineer
Core
Lead Perception Engineer driving multi-year technical strategy, architecture, and ML system design for autonomous driving perception, mapping, and fusion.
Role type
Lead IC machine learning engineer (autonomous driving perception)
Builds
Production-grade autonomy and active safety technologies for self-driving vehicles
Domain
Autonomous driving / Computer vision / Machine Learning
Deliverable
production ML models
Required skills
Machine learning algorithms, supervised/unsupervised learning, multi-modality training, temporal/sequential modeling, deep learning frameworks, C++, Python, real-time system development, model validation, simulation, continuous integration, HIL testing
Preferred skills
Computer vision (multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, SLAM), planner ML system design, robot motion planning, published research at top-tier conferences, deploying ML models at scale
Technologies
C++, Python, deep learning frameworks, simulation tools, HIL testing tools
Responsibilities
Drive technical vision and multi-year strategy for World Understanding software; Lead project execution and define efficient engineering processes; Collaborate with cross-functional teams to influence technical decisions; Develop state-of-the-art models for various sensor configurations; Increase speed of model iteration while maintaining cost efficiency; Incorporate data-driven approaches to improve system performance; Maintain functional architecture design and lead technical design reviews; Drive organizational metrics for performance, safety, and quality; Maintain external presence through papers, patents, and presentations; Assess and mitigate technical program risks; Mentor engineers and foster growth; Design reusable software components; Build component and system level validation strategies
Seniority
Senior, hands-on IC with mentorship responsibilities
