Amazon
Member of Technical Staff - Infrastructure Engineer, Frontier AI & Robotics (FAR)
$150K–$300K
San Francisco, CA · Staff · Full-time · Posted Jun 4, 2026
- Experience
- 5+ years of distributed systems experience.
- Education
- Bachelor's degree in Computer Science or a related field.
About the job
Build and operate scalable infrastructure for training, evaluating, and deploying AI models and intelligent robotic systems across Amazon’s FAR research platform.
What you'll do
- Design and improve compute, data, experimentation, analytics, and model-serving infrastructure.
- Develop research tools for dataset management, visualization, quality assessment, and experimentation.
- Lead infrastructure initiatives and collaborate with science and robotics teams on research projects.
What they ask for
- 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 language (Go, Java, or C++).
- Experience with cloud platforms (AWS, GCP, or Azure), data pipelines or ML infrastructure, and system reliability practices.
Nice to have
- Experience supporting AI/ML research workflows or robotics, simulation, or real-time systems.
- Experience with Apache Spark, Flink, or Ray, query optimization, or developer tooling.
Pay
USD 150,000/year to USD 300,000/year base salary
Tools
Python, Go, Java, C++, AWS, GCP, Azure, Apache Spark
AI focus
Infrastructure for training, evaluating, and serving frontier AI models and deploying intelligent robotic systems; support for AI/ML research workflows.
Model-written summary · the original posting is authoritative