Software Engineer, Data Infrastructure

Intrinsic•Mountain View, CA

About The Position

Intrinsic is Alphabet’s bet 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. Role 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. How your work moves the mission forward

Requirements

Experience collaborating on medium to large software projects for at least 4 years.
Experience with one of C++, Golang, Python
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.
Experience with machine learning pipelines.
Familiarity with robotics systems

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
Build Data pipelines to train the next generation of functional robot models.
Build and maintain tools and infrastructure for data exploration, analysis, and visualization.
Implement and maintain data security and privacy best practices.
Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.