Tech Stack

Description

You will research, develop, and implement state-of-the-art synthetic sensor simulation methods, analyze the realism and utility of synthetic data, and collaborate with autonomy, infrastructure, and systems teams to improve self-driving technology.

Requirements

• PhD in ML, CS, EE, robotics, or related field + 3 years industry experience, or Master's + 4 years, or 5+ years industry experience
• Deep understanding of ML fundamentals with hands-on experience training modern ML models
• Strong Python skills with deep learning frameworks (PyTorch, TensorFlow, Jax)

Responsibilities

• Research, develop, and implement synthetic sensor simulation methods
• Analyze realism and utility of synthetic sensor data
• Answer critical questions about sensor data and autonomy performance
• Collaborate with autonomy, infrastructure, and systems teams on map needs