Senior Robotics Data Engineer: End-to-End Data Collection

Amazon Inc.; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Amazon is seeking to advance frontier robotics through its Frontier AI & Robotics (FAR) program. The role focuses on owning and optimizing data collection for early-stage robotics research, partnering with researchers, engineers, and operators to ensure high-quality data while maintaining safe, scalable collection practices.

You will guide collectors, calibrate workflows, and implement reusable tooling to minimize failures and improve turnaround times.

Qualifications

• Experience designing reliable data collection workflows for research tasks.
• Ability to translate research objectives into practical collection processes.
• Familiarity with robotics sensors, calibration, and data integrity concepts.

Responsibilities

• Own end-to-end collection iterations from requirements to delivery of training-ready data.
• Coordinate dependencies and resolve blockers to meet quality and turnaround goals.
• Develop and refine SOPs for collection workflows and ensure consistent adoption.
• Act as the technical expert for collection workflows, equipment, and tools.
• Provide coaching to data collectors and improve troubleshooting skills.
• Assess risks to data collection and coordinate safe recovery actions.
• Track metrics like usable data yield and iteration timing to drive improvements.
• Lead improvements to reduce collection failures and drive adoption across stations and teams.
• Communicate priorities and risks clearly to researchers, engineering, operations, and partners.

Skills

Data collection workflow design

Robotics hardware knowledge

Quality data assurance

Stakeholder coordination

Job description

Amazon is seeking to advance frontier robotics through its Frontier AI & Robotics (FAR) program. The role focuses on owning and optimizing data collection for early-stage robotics research, partnering with researchers, engineers, and operators to ensure high-quality data while maintaining safe, scalable collection practices.

You will guide collectors, calibrate workflows, and implement reusable tooling to minimize failures and improve turnaround times.