RoleAs 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- 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.
Skills you will need to be successful- At least 4 years of professional, post-graduate experience collaborating on medium to large software projects.
- Experience with one of C++, Golang, Python.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
- Excellent communication and collaboration skills.
Skills that will differentiate your candidacy- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Experience with data governance and compliance.
- Experience with machine learning pipelines.
- Familiarity with robotics systems.
The base salary for this full-time position is between $147,200 - $200,900 (USD) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.
