Lead Engineer, Reinforcement Learning & Scenario Generation

• Develop RL algorithms for terrain intelligence and social navigation behaviors
• Design, build, and optimize large-scale RL training pipelines with distributed compute and GPU clusters
• Implement curriculum learning, domain randomization, and multi-agent RL strategies
• Build procedural generation pipelines for synthetic environments, agents, and dynamic behaviors

This role creates positive change by developing robotic delivery systems that take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses, transforming robotic deliveries from surprising novelty to efficient ubiquity.

• Master's degree in Robotics, AI, Computer Science, Mathematics, or related field
• 7+ years professional experience shipping transformer-based AI models for navigation/manipulation tasks in AV/robotics
• 3+ years technical leadership/architecture experience
• Strong experience with Reinforcement Learning (PPO, SAC, A3C, DQN, multi-agent RL)
• Proficiency in Python and C++ for performance-critical simulation or graphics pipelines

Base salary range (U.S. - all locations): $190k - $230k USD
Base salary range (Canada - all locations): $160k - $190k CAD
The organization values agile, diverse, and driven teams that solve complicated dynamic problems collaboratively and respectfully.

Serve Robotics is reimagining how things move in cities through personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.