Staff Infrastructure Engineer, Frontier AI & Robotics

Amazon

San Francisco (CA)

On-site

USD 150,000 - 300,000

Full time

14 days+
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Job summary

Amazon’s Frontier AI & Robotics (FAR) team is seeking a hands-on Member of Technical Staff, Infrastructure to design and operate the distributed systems powering our robotics research and development platform. You will enable researchers to train models, run large-scale experiments, and deploy robotic systems at Amazon scale.

You will lead infrastructure initiatives, optimize performance, and build tooling to accelerate research workflows, collaborating with science and robotics teams across FAR.

Qualifications

  • 5+ years of distributed systems experience.
  • Bachelor's degree in Computer Science or a related field.
  • Proficiency in Python and at least one systems or backend programming language (e.g., Go, Java, C++).
  • Experience with cloud infrastructure platforms (AWS, GCP, or Azure).
  • Experience building or maintaining data pipelines, ETL systems, or ML training/serving infrastructure.
  • Understanding of system reliability principles including monitoring, observability, fault tolerance, and on‑call operational practices.

Responsibilities

  • Design and build scalable compute and data infrastructure to support model training, inferencing, and eval for frontier AI/Robotics development.
  • Lead large technical initiatives and shape the architecture of FAR’s research platform infrastructure.
  • 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.
  • Improve the performance, efficiency, and reliability of FAR’s core compute and storage infrastructure, ensuring systems remain fast and stable at scales.
  • Build highly scalable experimentation and analytics infrastructure to support model evaluation, A/B testing, and feature performance.
  • Collaborate directly with science and robotics teams to support research projects through both infrastructure development and hands‑on technical contribution

Skills

Distributed systems
Python
Go/Java/C++
Cloud platforms
Data pipelines
Reliability/Observability

Education

Bachelor's degree in Computer Science or related field

Job description

Amazon’s Frontier AI & Robotics (FAR) team is seeking a hands-on Member of Technical Staff, Infrastructure to design and operate the distributed systems powering our robotics research and development platform. You will enable researchers to train models, run large-scale experiments, and deploy robotic systems at Amazon scale.

You will lead infrastructure initiatives, optimize performance, and build tooling to accelerate research workflows, collaborating with science and robotics teams across FAR.

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