Staff ML Engineer - Embodied AI Onboard Autonomy
Core
Design, architect, and deploy end-to-end machine learning models for real-time onboard autonomous driving, translating sensor data into driving behaviors.
Role type
Staff individual contributor machine learning engineer (autonomous driving)
Builds
End-to-end ML systems for fully autonomous vehicles
Domain
Autonomous driving / Robotics
Deliverable
production ML models
Required skills
End-to-end real-time ML development, Deep learning model design, Computer vision, Neural network architecture, Model optimization, Python, C++, PyTorch, TensorFlow, JAX
Preferred skills
Foundation Models (LLMs, VLAs), AV/ADAS experience
Technologies
PyTorch, TensorFlow, JAX, C++, Python
Responsibilities
Drive design and deployment of advanced onboard ML models for real-time inference, Lead and architect complex ML projects from conception to implementation, Champion innovation in neural network architectures and inference optimization, Provide technical mentorship and thought leadership, Collaborate with multidisciplinary engineering groups for system integration, Influence technical roadmaps and strategic ML priorities
Seniority
Staff, hands-on IC with strategic influence
