Jobs at Path Robotics

The Technical Marketing Engineer will create technical content, collaborate with engineering teams, and ensure marketing material is credible for manufacturing audiences.

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.

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 Machine Learning Engineer, you'll lead the development of a neural welding simulator, integrating research and production to enhance robotic systems. Responsibilities include building predictive models, collaborating with reinforcement learning engineers, and translating prototypes into maintainable production code.

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.

Develop machine learning algorithms for robotic welding perception, maintain data pipelines, evaluate models, and integrate them into production services.

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 Data Farm Program Manager coordinates operational activities between Engineering and the Data Farm, overseeing DOE execution, scheduling, and cross-functional collaboration to ensure high-quality data generation and throughput.

The Senior Recruiter will lead full-cycle recruiting for technical and non-technical roles, fostering pipelines, partnering with hiring managers, and leveraging data to enhance recruitment processes.

The Events Coordinator manages logistics for trade shows and events, ensuring timely execution and high quality, while collaborating with marketing and sales teams.

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.

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.

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.

The Senior Software Engineer will architect production-grade Python systems, lead engineering best practices, build tools for researchers, and mentor the team in a collaborative environment.

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