Member of Technical Staff - Data Platform Engineer, Frontier AI Robotics

Member of Technical Staff - Data Platform Engineer, Frontier AI Robotics

Job ID: 10440315 | Amazon.com Services LLC

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

Key Responsibilities

• Build and maintain the data infrastructure that powers our robotics manipulation research.
• Work alongside our existing team of platform engineers to extend the systems that turn raw robot session data into curated, trainable episodes.
• Own streaming ingestion pipelines, platform and schema design, heterogeneous data sources, data curation and quality controls, full‑stack inspection and dataset‑builders that researchers and human annotators actually use.
• Provide tools that let scientists go from dataset to training job without leaving the platform.
• Run on a modern cloud‑native stack – distributed compute on Kubernetes, streaming data infrastructure, columnar lakehouse storage, and a TypeScript/React frontend.
• Ship full‑stack data infrastructure that real users depend on, treating researchers as collaborators rather than customers.
• Have a strong bias toward iteration in a flat org where engineers pick up science‑driven work directly instead of waiting for approval layers.

Basic Qualifications

• 5+ years of non‑internship professional software development experience.
• 5+ years of owning the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Strong software engineering background with full‑stack development experience.
• Expertise in distributed systems, cloud computing, and scalable data processing.
• Experience with data pipeline design, ETL processes, and data management systems.

Preferred Qualifications

• Experience as a mentor, tech lead, or leading an engineering team.
• 5+ years of programming with at least one software programming language.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.
• Bachelor’s degree in computer science or equivalent.
• Experience with dataset curation and quality assessment techniques.
• Knowledge of computer vision and multimodal data processing.
• Deep understanding of machine learning fundamentals, particularly large‑scale model training.
• Background in research environments or supporting ML research workflows.
• Experience with data visualization and annotation tooling.
• Familiarity with modern data filtering and deduplication methodologies.
• Proficiency in translating academic concepts into production systems.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.