Tech Stack

Description

You will drive innovations in autonomous vehicle technology by designing state-of-the-art algorithms and systems using deep learning and reinforcement learning. You'll develop agentic software, integrate research prototypes into production systems, and conduct research to enhance autonomous capabilities.

Requirements

• Sophisticated knowledge of LLMs with understanding of how they work and are applied
• Solid experience with reinforcement learning methods and their application to autonomous systems
• Proven experience shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles
• Degree in Computer Science, Robotics, ML, or related field, or equivalent experience

Responsibilities

• Develop advanced agentic software for sensor perception, prediction, and decision-making
• Design and implement integrated agents and AI models for autonomous systems workflows
• Integrate research prototypes into production-ready systems including simulation and real-world platforms
• Conduct research into reinforcement learning strategies and deep architectures
• Utilize real-world and synthetic data to enhance model robustness and generalization