Jobs at Path Robotics

Own full-cycle recruiting across manufacturing, operations, deployment, field services, supply chain, and defense programs. Build proactive sourcing strategies, talent pipelines, and recruiting processes; partner with leaders to define hiring needs; manage interviews, offers, and candidate experience; use market and pipeline data to improve hiring decisions; and support scalable talent acquisition in a fast-moving technical environment.

Build and maintain ML infrastructure for robot learning, including training pipelines, experiment tracking, model versioning, deployment, sensor-data processing, simulation, monitoring, and feedback systems. Develop internal tools for dataset exploration, testing, evaluation, and productionization. Partner with AI researchers and robotics engineers to deliver scalable software supporting AI models from data collection through deployment on robotic systems.

Own enterprise sales for AI-powered robotic automation solutions, targeting major manufacturers. Responsibilities include territory and account planning, prospecting, multi-threaded stakeholder management, ROI and business-case development, negotiations, and closing complex multimillion-dollar deals through funded deployment. The role requires expertise in enterprise B2B sales, capital equipment or automation, Robotics-as-a-Service, and long sales cycles. Frequent customer-site travel, approximately 50%, is expected.

Drive revenue growth by managing complex enterprise sales cycles from lead generation through close. Build strategic relationships with C-level stakeholders, apply the Challenger sales methodology, uncover manufacturing customer needs, and position AI-driven robotic solutions. Collaborate with engineering, operations, product, and customer success teams to tailor solutions, provide market feedback, and support product innovation. Mentor junior team members as needed.

Administer and scale core IT platforms, including Google Workspace, JAMF, Intune, Azure Active Directory, Okta, and CrowdStrike. Manage identity, access, endpoint security, device provisioning, patching, compliance, troubleshooting, and Tier 2/3 support across macOS, iOS, and Windows. Own system integrations and lifecycle management, document processes, support incident response and audits, participate in on-call rotations, and automate workflows to improve security, reliability, and employee technology experience.

Own part templating quality, consistency, scheduling, and throughput for the Mission Control team. Responsibilities include creating process documentation, monitoring output, assigning and reprioritizing work, balancing team capacity against deadlines, onboarding and training team members, evaluating ramp-up performance, and coaching staff. The role combines hands-on templating with operational leadership and continuous process improvement.

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

Lead and scale the field deployment engineering team to install and commission robotic welding cells. Build SOPs, commissioning checklists, and metrics; own out-of-box quality and pre-shipment validation; manage Jira ticket lifecycle, triage field incidents, perform RCA, and coordinate cross-functional feedback to improve product deployability and reduce installation time and callbacks.

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 develop and deploy AI systems for robotics, focusing on advanced manipulation techniques and control algorithms, collaborating across teams.

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.

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.

Lead architecture and hands-on development of robotics software across perception, planning, controls, and execution. Build scalable frameworks, motion planning, real-time control, kinematics, collision checking, SLAM, mapping, hardware interfaces, and integrate ML techniques. Mentor engineers, drive engineering best practices, and collaborate cross-functionally to deliver production robotic capabilities.

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.

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.