Path Robotics

Build the infrastructure that takes AI and machine learning models from research experiments to deployment on real robotic systems. You’ll develop data pipelines, tooling, deployment systems, and monitoring workflows alongside AI researchers and robotics engineers.

Build the real-time perception systems that let Path Robotics’ machines understand the world and act safely on physical hardware. You’ll combine classical vision, 3-D geometry, embedded GPU inference, and rigorous measurement to make robotic control loops reliable.

Lead the architecture and development of advanced robotics software powering autonomous systems in manufacturing environments. This hands-on Staff role combines motion planning, controls, perception, autonomy, real-time systems, and technical mentorship.

Build high-performance React and TypeScript interfaces for a cloud platform and factory-floor HMI that power robotic welding workflows. You’ll work across 3D visualization, back-end services, testing, and cloud deployment in a collaborative robotics environment.

Join Path Robotics’ Robot Learning team to develop learning-based manipulation, control, and planning systems for autonomous industrial robots. You’ll build and deploy agentic AI models that enable robots to learn from multimodal, real-world data.

Design and deploy reinforcement learning systems that help robots learn, adapt, and operate safely in real-world environments. You’ll bridge large-scale simulation and physical robot experiments while optimizing models for real-time robotic systems.

Build the software that enables real-world robots to sense, plan, move, and adapt across robotic workcells and mobile platforms. You’ll work in modern C++ on planning, control, hardware integration, and learning-based robotics systems.

Build the backend platform that turns perception research into reliable services for Path Robotics’ fleet of welding robots. You’ll own APIs, GPU deployment infrastructure, observability, and data pipelines supporting ML and robotics teams.