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

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
• https://amazon.jobs/content/en/how-we-hire/accommodations
• [https://amazon.jobs/content/en/how-we-hire/accommodations] 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
• https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply
• via our internal or external career site.