Tech Stack

Description

You will design, scope, and integrate ML systems for on-vehicle behavior in a real-time, resource-constrained environment. You'll develop tooling and infrastructure to iterate on models, collaborate with cross-functional teams like perception and controls, and validate work through simulation and testing.

Requirements

• Strong Python skills
• Experience with PyTorch and TensorRT
• Experience with cloud orchestration tools like Flyte
• Strong written and verbal communication skills
• Experience deploying state-of-the-art ML models or architectures in production

Responsibilities

• Design, scope, implement, and integrate ML systems for on-vehicle behavior problems
• Develop tooling and infrastructure to measure and iterate on ML models
• Collaborate with systems engineers to ensure safe, well-tested product delivery
• Work with verification teams for proper testing and validation of motion planning modules
• Identify bottlenecks and develop novel motion planning components