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

Description 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. 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. 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. Key job responsibilities In this role you will build and maintain the data infrastructure that powers our robotics manipulation research. You'll work alongside our existing team of platform engineers to extend the systems that turn raw robot session data into curated, trainable episodes. This team owns 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, and tools to let scientists go from dataset to training job without leaving the platform. We run on a modern cloud‑native stack — distributed compute on Kubernetes, streaming data infrastructure, columnar lakehouse storage, and a TypeScript/React frontend. We’re looking for engineers willing and eager to work on the full stack in a fast iteration cycle while working with researchers as close customers. What matters is that you can ship full‑stack data infrastructure real users depend on, treat researchers as collaborators rather than customers, and 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 experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $300,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Applicants should apply via our internal or external career site. Company Amazon.com Services LLC Job ID: A10440315 #J-18808-Ljbffr