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, run experiments, and deploy robotic systems efficiently. 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 across the robotics ecosystem.

• 5+ years of distributed systems experience
• Proficiency in at least one systems or backend programming language such as Python, Go, Java, or C++
• Experience with cloud infrastructure platforms like AWS, GCP, or Azure
• 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 such as Apache Spark, Flink, or Ray
• 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

• 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 robotic platforms
• Improve the performance, efficiency, and reliability of core compute and storage 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
• Collaborate directly with science and robotics teams to support research projects through infrastructure development and hands-on technical contribution
• Lead large technical initiatives and shape the architecture of the research platform infrastructure

• 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.