Robotics Engineer, Model Deployment
Core
Integrate and deploy AI models on robotic platforms, optimize software stacks for customers, and build scalable deployment tooling.
Role type
Robotics Engineer (Model Deployment)
Builds
Scalable tooling and workflows for deploying, monitoring, and improving AI models on robotic hardware
Domain
Robotics + Physical AI
Deliverable
production ML models
Required skills
Robotics systems, Python, PyTorch, AI/ML deployment on hardware, data pipelines, model evaluation, problem-solving, technical planning
Preferred skills
Robot learning (imitation/RL/diffusion), robotic manipulation/control, simulation, Rust, deep learning acceleration, edge deployment, cloud infrastructure, containerization
Technologies
PyTorch, Python, Rust, Docker
Responsibilities
Integrate AI models on robotic platforms, adapt software stacks to new robots/sensors, work with customer engineering teams, diagnose integration issues, build deployment tooling, define technical requirements for productization, own deployment planning/execution, translate learnings to product improvements, track performance and communicate risks
Seniority
Mid-Senior, hands-on IC
