Search the 8 jobs at Path Robotics

As a Staff Machine Learning Engineer, you will develop and implement algorithms for robotic perception in welding tasks, collaborate with teams on experiments, and drive innovation in AI-driven robotic welding solutions. Your expertise in computer vision, deep learning, and machine learning will be pivotal in solving complex challenges in the welding domain.

As a Senior Machine Learning Engineer at Path Robotics, you will design and implement algorithms for bin picking and pose estimation in robotics. Your role includes collaborating with teams to integrate perception systems, optimizing algorithms for real-time performance, and conducting research to enhance system capabilities.

The Deployment Engineer at Path Robotics will integrate robots, sensors, and software into autonomous welding systems. Responsibilities include configuring cell components, troubleshooting software issues, documenting errors, and training technicians. This role facilitates collaboration between engineering and manufacturing teams to ensure operational readiness of robotic systems.

As a Staff Machine Learning Engineer at Path Robotics, you will lead the development of advanced AI systems for robotics, utilizing behavioral cloning and reinforcement learning. Responsibilities include collaborating on control algorithms, integrating with hardware, conducting simulations, and troubleshooting robotic systems to enhance their capabilities.

The Senior Robotics Support Engineer at Path Robotics will bridge internal Mission Control and development teams, resolving technical issues, improving support processes, and enhancing operational efficiency. Responsibilities include handling escalated issues, developing tooling, and creating SOPs to minimize support escalations, while collaborating closely with various teams to track support metrics and report on recurring issues.

The Robot Learning Intern will develop AI systems for industrial robotics, focusing on manipulation techniques, motion control, and planning algorithms. The intern will work with multi-modal data, integrate algorithms into robotic platforms, and collaborate with experienced professionals to enhance robotic capabilities. This hands-on role offers mentorship and the opportunity to contribute to impactful projects.

As a Senior Software Engineer, you will develop and maintain software systems that connect cloud services with robotic devices. Your role includes architecting cloud services, building logic for robotic systems, and creating testing frameworks while mentoring team members in software development best practices.

As a Deployment Program Manager, you will lead deployment projects for robotics systems, collaborating with cross-functional teams to ensure timely delivery. Responsibilities include developing project plans, managing risks, coordinating with stakeholders, and facilitating communication to achieve successful deployment outcomes and customer satisfaction.