Member of Technical Staff Infrastructure Engineer, Frontier AI & Robotics (FAR)

Amazons Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff Infrastructure to build and scale the foundational systems that power our robotics research and development this role you will design and operate the distributed infrastructure that enables our researchers and engineers to train foundation models run large-scale experiments and deploy intelligent robotic systems at Amazon scale.

Join the next revolution in robotics where youll work alongside world-renowned AI pioneers to push the boundaries of whats possible in robotic intelligence. As a Member of Technical Staff focused on Infrastructure youll build the critical platform layer that accelerates every aspect of FARs research from high-throughput data pipelines and experiment management systems to low-latency model serving and configuration delivery for robotic deployments.

This role is deeply technical and focuses on performance scalability and reliability at scale. You will design systems that support volumes of training data operate with strict latency requirements and provide the compute and data foundation that enables breakthrough research across FARs robotics ecosystem.

Key job responsibilities
- Design and build scalable data infrastructure to support AI robotics research including automated pipelines for data ingestion processing curation and delivery

- Build highly scalable experimentation and analytics infrastructure to support model evaluation A/B testing and feature performance monitoring across robotic systems

- Design and operate low-latency configuration and model delivery systems powering progressive rollouts across FARs robotic platforms

- Improve the performance efficiency and reliability of FARs core compute and storage infrastructure ensuring systems remain fast and stable as research scales

- Develop tooling and frameworks that accelerate research workflows including dataset management visualization and quality assessment systems

- Optimize query performance and data availability for experimentation and analytics workflows used by research teams

- Collaborate directly with science and robotics teams to support research projects through both infrastructure development and hands-on technical contribution

- Lead large technical initiatives and shape the architecture of FARs research platform infrastructure

- 5 years of distributed systems experience
- Proficiency in at least one systems or backend programming language (e.g. Python Go Java C)
- Experience with cloud infrastructure platforms (AWS GCP or Azure) including compute storage and networking services
- Experience building or maintaining data pipelines ETL systems or ML training/serving infrastructure
- Strong understanding of system reliability principles including monitoring observability fault tolerance and on-call operational practices

- Experience supporting AI/ML research workflows including experiment tracking dataset management or model deployment infrastructure
- Familiarity with robotics platforms simulation environments or real-time systems with strict latency requirements
- Experience with large-scale data processing frameworks (e.g. Apache Spark Flink or Ray) and query optimization for analytics workloads
- Demonstrated ability to lead large technical initiatives and influence architectural decisions across cross-functional teams
- Experience building developer tooling internal platforms or self-service infrastructure systems that improve research or engineering productivity

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.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150000/year in our lowest geographic market up to $300000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit Applicants should apply via our internal or external career site.