SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Tutor Intelligence is seeking a Senior Infrastructure Engineer to own the technical approach and ongoing reliability of a major system supporting robot data collection and experimentation.
You will build and maintain robot-side and backend services, data pipelines, and tools that reduce operator effort and improve experiment throughput. Your work will span system health monitoring, data completeness verification, sensor timing, and experiment progress observability—turning failures into actionable diagnostics that the team can act on.
Key responsibilities include:
- Owning the technical approach and reliability of the robot data collection and experimentation infrastructure
- Building and maintaining robot-side and backend services, data pipelines, and operational tools
- Making system health, data completeness, sensor timing, and experiment progress observable
- Improving deployment, configuration, testing, recovery, and rollback processes to ensure repeatability
- Diagnosing incidents across device interfaces, Linux, networking, concurrency, and storage; delivering durable fixes
- Prioritizing work using evidence from researchers and operators, communicating scope, risks, and tradeoffs
- Improving engineering tools, runbooks, and technical reviews; helping colleagues operate and extend the system
This role requires independently owning substantial software systems through their full lifecycle: design, deployment, operation, and difficult debugging. You'll work across unfamiliar system boundaries, define approaches to ambiguous problems, and collaborate closely with researchers and operators who use the system daily.
REQUIREMENTS:
- Evidence of independently owning a substantial software system through design, deployment, operation, and difficult debugging
- Strong Python software engineering, including maintainable code, automated tests, concurrency, and service interfaces
- Practical Linux and networking knowledge, and experience deploying and operating services
- Understanding of distributed-system failure modes, data integrity, and safe recovery from partial failures
- Experience building observability and using it to diagnose incidents and improve reliability
- Ability to work across unfamiliar system boundaries, define an approach to ambiguous problems, and collaborate with people who use the system daily
NICE TO HAVE:
- Robotics, device fleets, teleoperation, edge computing, or synchronized sensor pipelines
- C++ or Rust, containers, cloud infrastructure, infrastructure as code, or ML deployment
- Operator tools and experiment platforms; effective use and critical review of AI-assisted engineering
