Software Engineer – ML Infrastructure

Build and maintain the core infrastructure powering our AI and machine learning workflows, bridging the gap between research and production. You'll develop the tooling, pipelines, and deployment systems necessary to bring models from experimentation to the factory floor, working closely with AI researchers and robotics engineers.

• Build and maintain software infrastructure for robot learning, model training, and deployment
• Develop data pipelines for large-scale robotic sensor and telemetry data
• Support AI model deployment onto robotic systems, including simulation and hardware integration
• Build internal tools to accelerate AI engineering workflows
• 3-6 years of software engineering experience with ML infrastructure or MLOps exposure
• Production software experience in Python, with familiarity in PyTorch and ML systems