Amazon's Frontier AI & Robotics team is looking for a Member of Technical Staff focused on Infrastructure to develop and scale the systems that support robotics research and development. This role involves designing distributed infrastructure that enables researchers to train models, conduct experiments, and deploy robotic systems at scale. The position emphasizes performance, scalability, and reliability, requiring collaboration with science and robotics teams. You will be instrumental in building the foundational platform that accelerates research workflows and enhances the capabilities of the robotics ecosystem.

• 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 such as Go, Java, or C++
• Experience with cloud infrastructure platforms including 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
• Experience supporting AI/ML research workflows
• Familiarity with robotics platforms, simulation environments, or real-time systems with strict latency requirements
• Experience with large-scale data processing frameworks such as Apache Spark, Flink, or Ray
• Demonstrated ability to lead large technical initiatives and influence architectural decisions
• Experience building developer tooling, internal platforms, or self-service infrastructure systems

• Design and build scalable compute and data infrastructure to support model training, inferencing, and evaluation 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
• 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

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.