Senior Robotics Data Engineer, Frontier AI & Robotics (FAR)
$128k - $214kAmazon
Are you interested in solving the most critical operations problem behind cutting-edge robotics development Interested in fast dynamic environment Amazons Frontier AI & Robotics (FAR) team is building advanced robotic systems through frontier foundation models and high-quality data collection is a core input to that research.
Key job responsibilitiesOwn the technical execution and continuous improvement of early-stage data collection for advanced robotics. Partner with researchers to translate research objectives into reliable collection workflows improve data quality and shorten policy training iteration cycles. Work independently within agreed priorities providing hands-on technical guidance to data collectors and coordinating execution across research engineering and operations. In this role you will
- Own end-to-end collection iterations for assigned research tasks from requirements and station readiness through pilot collection quality review and delivery of training-ready data. Coordinate dependencies and resolve blockers to meet agreed quality and turnaround goals.
- Partner with researchers to develop and refine SOPs translating task objectives failure modes and evaluation feedback into clear collection instructions and acceptance criteria. Maintain version control and ensure collectors adopt changes consistently.
- Serve as the technical subject matter expert for assigned collection workflows equipment and tools. Independently diagnose complex issues involving robotics hardware sensors calibration collection software and data integrity; engage engineering partners when resolution requires deeper expertise.
- Provide critical technical direction and coaching to data collectors. Demonstrate correct execution calibrate collectors against quality standards and develop their troubleshooting skills and judgment.
- Assess operational and technical risks including equipment readiness unsafe conditions data loss and quality degradation. Determine when to continue pause collection or escalate and coordinate recovery within established safety and technical boundaries.
- Own collection performance metrics including usable-data yield rework station availability and iteration turnaround time. Use dashboards and root-cause analysis to identify recurring issues and verify that corrective actions improve results.
- Lead operational improvement projects that reduce collection failures and iteration delays. Develop and implement reusable workflows troubleshooting guides readiness checks and lightweight tooling and drive adoption across relevant stations shifts and partner teams.
- Coordinate technical and nontechnical stakeholders including researchers engineering operations and annotation partners. Communicate priorities trade-offs risks and decisions clearly and escalate issues that threaten delivery commitments. - Can work proactively and independently meet deadlines and deliver on projects and tasks
- Bachelors degree or above in Operations Research Statistics Applied Mathematics Engineering Computer Science or related field or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience diagnosing hardware software or process issues using evidence to identify root causes and implement corrective actions
- Strong problem-solving and systems-thinking skills including the ability to assess risks and make sound technical decisions with incomplete information
- Working understanding of how collection quality task coverage and consistency affect model training and evaluation with the ability to translate research requirements into executable procedures and quality checks
- Demonstrated ability to train and mentor others and communicate complex information clearly to technical and nontechnical audiences including remote teams and colleagues who use English as a second language
- Strong organizational skills with the ability to manage competing priorities and dependencies across multiple collection tasks - 5 years of experience in technical operations engineering technical project management or a related role involving hands-on ownership of complex systems or workflows
- Experience developing SOPs technical documentation performance metrics and process improvements and ensuring their adoption
- Experience with robotics teleoperation egocentric video or multimodal sensor data
- Experience supporting ML/AI data collection annotation quality assurance or model evaluation workflows
- Familiarity with sensor calibration timestamp synchronization pose tracking and data integrity checks
- Experience using vibe coding agents to build and maintain lightweight operational tools
- Experience taking an experimental workflow from initial pilot through repeatable execution across multiple stations or teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA San Francisco - 128000.00 - 214000.00 USD annually
Required Experience:
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