Software Development Engineer, Data Platform , Fauna

About the role

We are seeking a Software Development Engineer to build the foundational data systems that power our robotics and machine learning development.

Responsibilities

• 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

About the team

Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.

We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.

The focus is not just functionality, but experience. We're building robots that feel responsive, expressive, and genuinely useful.

At Fauna, you'll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It's an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.

Qualifications

• 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)

Preferred Qualifications

• 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