Sr. SDE ML Data Infrastructure, Frontier AI Robotics, Frontier AI Robotics

Description

Build and maintain scalable data infrastructure to support innovative AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state‑of‑the‑art data filtering techniques including deduplication, quality scoring, and model‑based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands‑on technical contribution to data preparation workflows.

At Frontier AI & Robotics, we’re not just advancing robotics — we’re reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end‑to‑end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real‑world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon’s massive computational infrastructure and rich real‑world datasets to train and deploy state‑of‑the‑art foundation models. Our work spans the full spectrum of robotics intelligence — from multimodal perception using images, videos, and sensor data to sophisticated manipulation strategies that can handle diverse real‑world scenarios.

We are building systems that don’t just work in the lab, but scale to meet the demands of Amazon’s global operations.

Join us if you’re excited about pushing the boundaries of what’s possible in robotics, working with world‑class researchers, and seeing your innovations deployed at unprecedented scale.

• 5+ years of non‑internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Strong software engineering background with full‑stack development experience
• Deep understanding of machine learning fundamentals, particularly large‑scale model training
• Expertise in distributed systems, cloud computing, and scalable data processing
• Experience with data pipeline design, ETL processes, and data management systems
• Proficiency in translating academic concepts into production systems

• 5+ years of non‑internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Strong software engineering experience in 3D domains (games, simulation, robotics, etc.)
• Extensive experience in physics simulation, with a preference for expertise in rigid body simulation
• Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry‑equivalent technology (3D animation, simulation, etc.)
• Understanding of 3D graphics and real‑time rendering applications
• Passion for your craft and demonstrated excellence in physics simulation engineering
• Proficiency in Python and C++

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor’s degree in computer science or equivalent
• Experience with physical robots, reinforcement learning, synthetic data generation
• Experience optimizing physics simulation for articulated robots and rigid body interactions
• Familiarity with modern ML frameworks like Py Torch
• Familiarity with 3D formats (URDF, MJCF, USD)
• Familiarity with 3D content creation tools (e.g., Blender, Houdini)
• Experience implementing techniques from research papers

Amazon is an equal‑opportunity…