Jobs at Path Robotics

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.

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.

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 Robotic Operations Support Specialist will support customers by maintaining and troubleshooting autonomous welding cells, ensuring efficient operation and coordinating with engineering teams.

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.

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

Develop and maintain software infrastructure for AI workflows, enabling seamless transitions from experimentation to production in robotic systems.

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

Develop systems-level software for robotics, focusing on HALs, device drivers, and optimizing embedded systems. Collaborate with hardware teams to ensure seamless integration and performance.

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 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.