Tech Stack

Description

You will develop and deploy ML-based motion planning components for autonomous trucks, owning critical components that cross domain boundaries. You'll work cross-functionally to create safe, real-time systems and help shape technical direction.

Requirements

• Strong Python skills
• Experience with PyTorch and TensorRT
• Experience with cloud orchestration tools like Flyte
• Excellent written and verbal communication skills
• Experience developing code for real-world robotics/semi-autonomous platform

Responsibilities

• Design, scope, implement, and integrate ML systems for on-vehicle behavior in real-time environments
• Develop tooling and infrastructure to measure and iterate on ML models
• Provide technical direction and work cross-functionally to develop safe systems
• Collaborate with perception, localization, controls, and verification teams
• Identify bottlenecks and develop novel motion planning components