Path Robotics

Data Engineer

• Architect and build our end-to-end data platform, including ingestion, transformation, orchestration, quality monitoring, and data access layers.
• Lead initiatives that break down data silos and enable seamless collaboration between business domains
• Design and develop optimized database architecture and data schemas with strategic partitioning for large scale multi-modal data.
• Implement scalable ETL/ELT pipelines that serve experimentation, training, validation, and real-time deployment needs across robotics and AI systems.
• Collaborate with ML and robotics engineers to define and deliver the data infrastructure required for cutting-edge model development and real-world deployment.
• Establish data governance, reproducibility, and lineage standards to ensure data integrity and traceability at scale.
• Develop data contracts and API specifications to ensure reliable data exchange between robotics systems, ML models, and downstream applications.
• Write production-grade, maintainable, and well-documented Python and SQL code for critical data workflows.
• Help shape our MLOps, observability, and CI/CD practices for continuous learning systems in physical environments.

Senior Data Engineer, ML Ops

Machine Learning Engineer

• Set the ML technical direction for the team, architectural choices on perception, reasoning, and action generation; training methodology; data strategy; the path from research bet to deployed capability. As one of the first senior hires, you are designing the approach, not extending it.
• Own the architectural workstreams that define the team's research and engineering bets — multiple core build streams across action-policy learning, world-model-based supervision, and policy-orchestration interfaces.
• Design hybrid physics-ML architectures for the integrated loco-manipulation stack. Manipulation, locomotion, and the whole-body control coupling between them are not separable on legged platforms; sub-millimetre continuous-trajectory precision at the tool requires the whole-body controller to compensate for base motion in real time. Today on fixed bases; tomorrow on mobile platforms. The integration is the hard problem; you own its design.
• Own the cross-functional partnerships with hardware teams, domain experts, customer-facing assurance standards, and upstream / downstream teams. Drive a phased deployment strategy that builds production trust over time.
• Mentor and shape the team, guide junior and intermediate ICs across software, ML, robotics, and perception backgrounds; establish code-quality standards, review practices, and engineering norms; help identify and attract next hires. You write code throughout — this is a tech-lead role, not a step away from the work.

Senior Machine Learning Engineer, Tech Lead – Robot Learning, Loco-Manipulation

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.

Senior Data Engineer, ML Ops

Senior Machine Learning Engineer, Tech Lead – Robot Learning, Loco-Manipulation

Events Coordinator