Software Development Engineer, Data Platform , Fauna

We are seeking a Software Development Engineer to build the foundational data systems that power our robotics and machine learning development. In this role, you will design and implement the infrastructure for collecting, storing, processing, and transforming the vast amounts of data generated by our robots—from sensor telemetry and video streams to operational logs and performance metrics.

You will own the services, APIs, and distributed systems that ingest, store, process, and serve it reliably  will work across the stack and partner directly with applied scientists and robotics engineers, turning their evolving needs into durable platform capabilities.

• Design, build, and operate scalable services and distributed systems for ingesting, storing, and serving large volumes of multimodal robotics data
• Own components end-to-end: design, implementation, testing, deployment, monitoring, and on‑call
• Build well‑designed APIs and tooling that let researchers and engineers discover, query, and process large datasets efficiently
• Develop real‑time and batch processing systems for preparing data for ML training
• Partner with science and engineering teams to translate evolving requirements into reusable platform capabilities

• 3+ years of non‑internship professional software development experience
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience with programming languages such as Python, Java, C++
• Experience building and operating distributed services or APIs in production
• Experience with large‑scale data storage technologies (object stores, columnar formats, time‑series or relational databases)

• Track record of building internal data platforms or tooling that accelerate ML for science and engineering teams
• Experience partnering directly with researchers or scientists to turn experimental workflows into durable platform capabilities
• Familiarity with ML workflows and how data systems support model training
• Experience with robotics, IoT, or other high‑volume sensor data (time‑series, video, point clouds)
• Experience with cloud data platforms (AWS, GCP) and hybrid on‑prem/cloud architectures
• Proficiency with SQL and query optimization for large datasets

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

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below)./benefits

USA, NY, New York -  -  USD annually