Robotics Data Infrastructure Engineer

Tutor; Watertown (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Tutor Intelligence is seeking an experienced software engineer to own the robot data-collection system, connecting robots, operators, data storage, and research workflows for repeatable experiments.

You will develop services across robot-side and backend components, improving deployment, testing, and diagnostics while collaborating closely with researchers and operators to ensure reliable, observable operations.

Qualifications

• Independent ownership of a substantial software system through design, deployment, operation, and debugging.

Responsibilities

• Own the technical approach and ongoing reliability of a major system supporting robot data collection and experimentation.
• Build and maintain robot-side and backend services, data pipelines, and tools that reduce operator effort and improve experiment throughput.
• Make system health, data completeness, sensor timing, and experiment progress observable; turn failures into actionable diagnostics.
• Improve deployment, configuration, testing, recovery, and rollback so changes and operations are repeatable.
• Diagnose incidents across device interfaces, Linux, networking, concurrency, and storage; deliver durable fixes and verify their effect.
• Prioritize work within team goals using evidence from researchers and operators, and communicate scope, risks, and tradeoffs.
• Improve engineering tools and runbooks, contribute useful technical reviews, and help colleagues operate and extend the system.

Skills

Python

Linux

Networking

Distributed systems

Observability

Debugging

Concurrency

Service interfaces

Collaboration

Tools

Containers

Cloud infrastructure

Infrastructure as code

ML deployment

Job description

Tutor Intelligence is seeking an experienced software engineer to own the robot data-collection system, connecting robots, operators, data storage, and research workflows for repeatable experiments.

You will develop services across robot-side and backend components, improving deployment, testing, and diagnostics while collaborating closely with researchers and operators to ensure reliable, observable operations.