Jobs at Path Robotics

Own end-to-end technical training for internal fleet technicians and customer operators of autonomous welding robots: design curricula, deliver hands-on instruction, build certification programs, measure adoption and outcomes, iterate with Engineering, and travel to customer sites to gather feedback and ensure uptime and safety.

Lead development of perception algorithms for robotic welding using RGB, LiDAR, and ToF sensors. Oversee research on image processing, point cloud and 3D sensor fusion, design and evaluate deep learning models, optimize deployable perception systems, mentor junior engineers, and drive architecture and strategic decisions for production-ready robotics perception.

As a Senior Software Engineer, you will architect and manage the Perception codebase, build backend systems for machine learning and computer vision, oversee deployment infrastructure, and mentor other engineers to enhance software quality.

The Senior Product Marketing Manager owns product positioning, drives go-to-market strategies, creates sales enablement materials, and collaborates cross-functionally to effectively launch and position products in the automation and manufacturing technology market.

Lead the development of core systems for intelligent robotic platforms, design and optimize performance-critical components, and integrate machine learning into real-time systems.

As a Deployment Engineer, you will integrate and calibrate robotic systems, troubleshoot software issues, document errors, and train technicians.

The Senior Software Engineer will architect production-grade systems using Python, lead best engineering practices, build tools for research teams, design CI/CD workflows, and mentor peers in a collaborative environment.

Build and maintain front-end interfaces and supporting endpoints for a cloud and HMI platform using React/TypeScript and back-end services (Node.js/C#). Collaborate across teams, write tests, perform code reviews, deploy via CI/CD, and optimize reusable components and 3D visualizations for production manufacturing workflows.

Design and build React/TypeScript front-end features for a cloud authoring platform and factory operator HMI. Work in a shared monorepo, create reusable high-performance components, integrate with back-end services, write automated tests, and participate in full SDLC including code reviews, CI/CD, and deployments.

The Machine Learning Engineer will develop and deploy AI systems for robotics, focusing on advanced manipulation techniques and control algorithms, collaborating across teams.

This is an invitation to connect with the Talent Acquisition team at Path Robotics. Interested candidates can provide contact information and resumes for future opportunities.

Develop high-performance, real-time C++ robotics systems using ROS/ROS2. Design concurrent, distributed perception, planning, and execution components, integrate vision and motion planning with industrial robots, write tests, debug real-time issues, and participate in code reviews and CI/CD deployments.

The Machine Learning Engineer will build a robot-learning stack, design training infrastructure, deploy ML policies, and collaborate with engineers in heavy manufacturing.

As a Senior Machine Learning Engineer (Tech Lead), you'll lead the ML technical direction, design architectures for loco-manipulation, mentor team members, and manage cross-functional partnerships while writing production-quality code.

Design and implement physics-based sensor simulations and photorealistic rendering pipelines (RGB, depth, stereo, structured light) using tools like Isaac Sim, Unreal, or Blender. Generate large-scale annotated synthetic datasets with domain randomization, validate sim-to-real fidelity against physical measurements, and collaborate with perception teams to meet dataset requirements. Senior roles add architecture, validation benchmarks, asset pipeline strategy, and mentorship.

Design, implement, and deploy reinforcement learning algorithms for robotic control and motion planning. Integrate RL policies with robot control systems and perception, build sim-to-real pipelines (domain randomization, transfer learning), run large-scale simulation training, and validate models on physical robots while optimizing for embedded compute and safety.

The Sales Enablement & Content Specialist will empower sales teams by creating content, training, and processes. They will enhance sales effectiveness through documented methodologies, program design, and ongoing analysis of enablement performance.

Manage post-sale customer relationships for North American manufacturing accounts, drive adoption and utilization of robotic systems, coordinate cross-functional teams, align production planning, act as the customer advocate internally, and enable account growth through ongoing support and expansion strategies.

Develop and maintain robotics software across perception, planning, control, and hardware drivers. Implement motion and trajectory planning, inverse kinematics, real-time control and feedback, localization and navigation for mobile platforms, and integrate sensors and cameras. Combine classical methods with learning-based approaches and operate software on Linux, ensuring reliability, testing, and deployment to live robotic cells.