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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Senior Research Engineer - Infrastructure

Platform EngineeringUpdated on Nov 10
Full-timeWatertown, MA, USANo salary listedIn-person

About the Job

Requirements

  • Experience owning a substantial software system through design, deployment, operation, and difficult debugging.
  • Strong Python skills, including tests, concurrency, and service interfaces.
  • Practical Linux and networking skills, and experience running services in production.
  • Understanding of distributed-system failure modes, data integrity, and recovery from partial failures.
  • Experience building observability and using it to improve reliability.

Responsibilities

  • Own a major system supporting robot data collection and experimentation, and keep it reliable.
  • Build robot-side and backend services, data pipelines, and tools that reduce operator effort and raise experiment throughput.
  • Make system health, data completeness, sensor timing, and experiment progress observable, and turn failures into actionable diagnostics.
  • Make deployment, configuration, testing, recovery, and rollback repeatable.
  • Diagnose incidents across device interfaces, Linux, networking, concurrency, and storage.

Desired Qualifications

  • Experience with robotics, device fleets, teleoperation, edge computing, or synchronized sensor pipelines.
  • Experience with C++ or Rust, containers, cloud infrastructure, infrastructure as code, or ML deployment.
  • Experience with operator tools and experiment platforms.

About the Company

Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Tutor Intelligence provides AI-powered manufacturing and packaging robots to American factories through flexible 12-hour leasing. The robots handle tasks like conveyor loading, end-of-line packing, kitting, palletization, and depalletization, and are powered by a hybrid human-artificial intelligence engine that enables deployment in minutes rather than months. Unlike traditional robotics purchases, the company offers a scalable, cost-effective leasing model that delivers a steady revenue stream while giving clients the ability to scale automation up or down as needed. The company’s goal is to help factories boost productivity and reduce labor costs by making automation accessible without large upfront investments.

Company size
51-200
Company stage
Series B
Total funding
$113.5M
Headquarters
Watertown, MA
Founded
2021

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