Path Robotics

Build real-time C++ software for robotic welding systems that combine perception, motion planning, control, and industrial robots. You’ll work on complex robotics problems involving concurrency, deterministic behavior, and real-world deployment.

Join Path Robotics as a Machine Learning Engineer focused on perception for robotic welding, developing computer vision and deep learning systems that interpret 3D sensor data and operate reliably in production. The role spans model development, data pipelines, evaluation, and deployment into ROS-based robotic services.

Build advanced robot-learning systems that enable industrial robots to perceive, plan, manipulate, and continuously improve in real-world environments. This role combines machine learning, robotics, and autonomous control across the full solution lifecycle.

Build the platform infrastructure, fleet orchestration, and observability systems that power Path Robotics’ robot deployments across local and cloud environments. This role combines software development, DevOps, cloud automation, identity management, and robotics operations.

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.

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.