Path Robotics

Events

• Plan, coordinate, and execute 10+ regional and vertical trade shows annually, managing all operational aspects including booth logistics and vendor coordination, contract management and show registrations, shipping and material handling, lead scanning setup and execution, event staffing coordination, travel and hotel arrangements, collateral, signage, and branded swag
• Support execution of Path’s large trade show booths at major industry events, including Automate and FABTECH, in partnership with marketing leadership and cross-functional teams.
• Ensure all event deliverables are completed on time, on budget, and to a high standard of quality.
• Further develop, standardize, and improve the company’s “booth-in-a-box” approach to enable efficient, repeatable execution across multiple events.
• Document event processes, timelines, and checklists to support scalability and consistency.
• Identify opportunities to improve operational efficiency and vendor management.
• Partner closely with Marketing and Sales to coordinate pre-event outreach and meeting scheduling, support on-site execution and logistics, enable timely post-event follow-up and lead handoff.
• Serve as the primary point of contact for event-related logistics and execution details.

Events Coordinator

Machine Learning Engineer

• Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation, progressively expanding coverage across joint types and part geometries.
• Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data ingestion, synthetic data generation, and structured dataset management for iterative model improvement.
• Run rigorous model evaluation experiments, including failure mode analysis, FP/FN rate characterization, and benchmarking against quantitative registration accuracy thresholds, and communicate findings clearly to guide next steps.
• Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations.
• Write clean, well-tested Python code; participate actively in code and experiment reviews; and maintain clear documentation of methods, parameters, and results.
• Lead research, development, and production deployment of advanced perception algorithms spanning point cloud registration, seam detection, and real-time in-process tracking across structured light, RGB, and stereo sensors.
• Design and lead experiments evaluating state-of-the-art deep learning models, including transformer-based and geometric feature learning architectures.
• Design and lead real-time perception systems such as during-weld seam tracking, applying sensor fusion with probabilistic state estimation (e.g., Kalman filtering) to achieve robust weld performance.
• Define and own the end-to-end ML lifecycle, from dataset design and annotation strategy through training, benchmarking, and fleet deployment, with clear go/no-go evaluation frameworks.
• Architect distributed training and hyperparameter optimization workflows; drive strategy for data acquisition, annotation tooling, and synthetic vs. real scan data usage.
• Mentor engineers across levels, providing technical leadership on perception systems and ML methodology.

Machine Learning Engineer – Perception

Product Marketing

• Own product positioning and messaging across all of Path’s products and capabilities. Develop and maintain the core narratives that differentiate us in the market.
• Drive go-to-market strategy for product launches, feature releases, and market expansion. Coordinate cross-functionally with product, engineering, sales, and customer success.
• Create high-quality content that establishes Path as the authority in autonomous welding: white papers, case studies, application guides, blog posts, and thought leadership.
• Build and refine sales enablement materials: battle cards, competitive analysis, objection handling guides, ROI frameworks, pitch decks, and demo scripts.
• Develop deep competitive intelligence. Know the landscape cold—traditional automation, other robotics companies, manual welding operations—and translate that into actionable positioning.
• Define and manage buyer personas and journey mapping. Ensure all marketing efforts are grounded in how technical buyers actually evaluate and purchase.
• Partner with the sales team to understand deal dynamics, win/loss patterns, and where marketing can have the most impact on the pipeline.

Events Coordinator

Machine Learning Engineer – Perception

Senior Product Marketing Manager