About the role
Plan, coordinate, and execute field test campaigns for robotic systems across diverse real-world environments, including customer sites, partner facilities, and first-party scenarios, ranging from indoor semi-structured settings to unstructured outdoor terrains, that replicate operational conditions. Develop and maintain structured field test protocols, acceptance criteria, data collection procedures, and reporting templates that ensure repeatable, measurable evaluation of robot hardware, software, and AI model performance. Deploy, configure, and operate robotic platforms in the field, including hardware setup, software provisioning, network configuration, sensor calibration, and integration with site-specific infrastructure. Collect, organize, and analyze field test data including sensor logs, telemetry streams, performance metrics, video recordings, and environmental measurements, producing clear and actionable test reports for engineering and program leadership. Diagnose and troubleshoot field issues across the full robot stack (mechanical, electrical, software, networking, AI behavior), performing initial root cause analysis and resolving complex issues alongside engineering teams with well-documented reproduction steps. Collaborate with hardware engineers, software engineers, AI researchers, and program managers to communicate and integrate field findings, prioritize bug fixes and design improvements, and validate engineering changes through follow-up field testing. Identify and provide feedback on process gaps in field deployment and test procedures, sharing best practices broadly across
the team and contributing to continuous improvement of field operations readiness. Maintain detailed documentation around field deployment procedures, site-specific configurations, inventory management, and service support workflows. Participate in test triage and review meetings to share knowledge, actively contribute to faster issue resolution, and identify readiness needs for upcoming field campaigns. Assist in the development of end-to-end readiness programs, including mentoring, knowledge sharing, technical document creation, and development of field operations training materials. Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 2+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field OR Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience Hands-on experience deploying, operating, or testing robotic systems, autonomous vehicles, drones, or complex electromechanical systems in field or operational environments. Familiarity with common robotic systems implementations, including robotics middleware (ROS/ROS2), Linux-based systems, sensor suites (cameras, LiDAR, IMUs), and robot debugging and data visualization tools. Experience with structured test planning, acceptance testing, or verification and validation (V&V) methodologies for hardware-software integrated systems. Proficiency in Python or similar scripting languages for test automation, data analysis, and log processing. Strong documentation skills with experience producing technical test reports, field deployment guides, and issue tracking documentation. Willingness and ability to travel to customer and partner sites and work in varied physical environments including warehouses, labs, and outdoor settings.
