Software Engineer (Data Infrastructure)

• 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
• 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

Benefits

• Access to mental health apps
• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Workplace accommodations for physical or mental health concerns
• Student loan reimbursement
• 401(k) and regional retirement plans
• Competitive compensation package that includes base salary, an annual performance bonus target, and equity
• Hybrid work model that balances in-person collaboration and productivity with individual flexibility
• Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays
• Parental leave and baby bonding leave
• Fertility and growing family support
• Back-up childcare
• Educational reimbursement
• Donation matching and time off to volunteer- 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)
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services
• Excellent communication and collaboration skills
• Familiarity with robotics systems
• Familiarity with frontend development
• Experience with data governance and compliance
• Experience with containerization technologies (e.g., Docker, Kubernetes)- This role sits within core platform software engineering. You will be building distributed ingestion systems and services that interface with robotics runtimes. Our technical assessment includes live algorithms/data structures coding (no AI tools permitted) and systems architecture design. Candidates whose background is primarily analytics, dashboarding, or standard SQL ETL typically do not align with this technical bar