Software Engineer

Who you are

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

What the job involves

• 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

The application process

• 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

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Workplace accommodations for physical or mental health concerns
• Access to mental health apps
• Competitive compensation package that includes base salary, an annual performance bonus target, and equity
• 401(k) and regional retirement plans
• Student loan reimbursement
• Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays
• Hybrid work model that balances in-person collaboration and productivity with individual flexibility
• Parental leave and baby bonding leave
• Fertility and growing family support
• Back-up childcare
• Educational reimbursement
• Donation matching and time off to volunteer