Software Engineer, Data Infrastructure

Intrinsic•Mountain View, CA

1d•Remote

About The Position

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems. Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services. This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better.

Requirements

Experience contributing to medium to large software projects for at least 4 years.
Production proficiency in C++ or Go; or advanced Python (concurrent systems, performance optimization, and architectural design—not scripting/notebooks).
Excellent communication and collaboration skills.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.

Nice To Haves

Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with data governance and compliance.
Familiarity with frontend development.
Familiarity with robotics systems.

Responsibilities

Design, develop, and maintain scalable and reliable software infrastructure for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
Build and maintain tools to enable developers to debug their robotics systems.
Build internal developer tools, telemetry pipelines, and infrastructure services to inspect and validate real-time robot operations.
Implement and maintain data security and privacy best practices.
Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.