Jobs at Tutor Intelligence

Own the software infrastructure supporting robot data collection and experimentation. Build robot-side and backend services, data pipelines, telemetry, deployment systems, and operator tools. Improve observability, reliability, testing, recovery, and rollback while diagnosing failures across devices, Linux, networking, concurrency, and storage. Collaborate with researchers and operators to prioritize improvements, document systems, and deliver durable fixes that increase experiment throughput and data quality.

Designs and owns complex mechanical subsystems for AI robots, including mechanisms, end effectors, fixtures, mounts, enclosures, and sensor assemblies. Responsibilities span requirements definition, CAD, calculations, prototyping, fabrication, integration, validation, failure analysis, documentation, and reliability improvements. The role collaborates with electrical, software, and research teams to deliver repeatable, maintainable robotic hardware builds.

Build and deploy computer-vision perception systems for robot manipulation. Responsibilities include detection, segmentation, tracking, pose estimation, 3D scene understanding, camera calibration, dataset creation, evaluation, model selection, and diagnosing failures on physical robots. The role requires close collaboration across research, software, mechanical, and electrical engineering teams, plus maintaining reliable, measurable, and diagnosable perception systems.

Evaluate, integrate, and test robotic hardware from suppliers; debug mechanical, electrical, and firmware issues; collaborate with supplier engineers in Mandarin and English; define requirements, build prototypes, conduct lab testing, and drive hardware improvements through production. The role is based in Watertown and requires spending approximately one-third to one-half of the time at supplier sites in China.

Own customer deployments of Tutor robots across production sites. Serve as the primary technical partner, diagnose software, mechanical, and process issues, monitor fleet performance, and coordinate improvements with engineering. Build trusted relationships with operations, engineering, and maintenance teams, translate field insights into product feedback, and support expansion opportunities. The role combines hands-on robotics operations, technical troubleshooting, customer partnership, and on-site facility work.

Own safety-critical robotic arm control software, including motion limits, collision response, stopping behavior, control-loop monitoring, and real-time operation. Build hardware-in-the-loop test benches integrated with continuous integration, maintain safety evidence and stopping-time measurements, and document control designs. The role requires physical-system controls experience, strong C++ and Python skills, Linux real-time programming, physics and dynamics knowledge, mission-critical software experience, and hardware-in-the-loop testing expertise.

Design, build, and own production perception and monitoring systems that keep people safe around robots. Develop lidar and camera detection, tracking, and sensor-fusion pipelines; maintain safety-critical code; test failure modes using field data, scenarios, and hardware faults; and collaborate across product teams. Contribute to robot safety strategy, risk assessments, standards, and customer evidence.

Own the shared data model and internal software supporting robotics maintenance, manufacturing, deployment, tutoring, sales handoffs, and field operations. Design relational schemas, execute migrations, reconcile operational data, build reporting, and translate business processes into software. Develop full-stack systems with TypeScript, React, and Python or TypeScript services. Direct AI coding agents, review their output, support users, and collaborate directly with technicians, plant managers, and operations teams.

Leads the platform and infrastructure team responsible for agent-ready environments, tooling, observability, context, CI, security, and compliance. Owns shared infrastructure decisions, production reliability, incident response, postmortems, and cross-team standards. Works hands-on with engineers to resolve systemic issues, determines ownership boundaries, and hires and develops a small senior team. The role requires organization-wide technical direction and accountability for infrastructure serving all engineering teams.

Owns accounting operations for a venture-backed robotics manufacturer, including month-end close, general ledger, AP, AR, payroll, internal controls, compliance, audits, lender reporting, covenant tracking, and borrowing-base packages. Partners closely with Manufacturing, Supply Chain, Engineering, financing, and lenders while building an AI-native accounting organization.

Own the end-to-end purchased-part supply chain for the Sonny V2 robot, including supplier sourcing and qualification, purchase orders, buffers, material coverage, cost negotiation, landed cost, supplier performance, and inventory accuracy. Build clear-to-build and shortage forecasting tools, manage BOM and engineering changes, support contract manufacturing, and coordinate with suppliers, engineering, production, finance, and sales to maintain production readiness.

Own technical program management for the Cassie robotics workstream across software, hardware, manufacturing, field deployment, and customer operations. Manage integrated plans, milestones, dependencies, risks, operating cadence, and status reporting. Build automation using agents, scripts, and integrations to collect updates, detect drift, and coordinate hardware changes, manufacturing builds, and software releases. Ensure production fleet reliability and new products reach customers on schedule.

As a Robotics Software Engineer, you will develop software for robots, focusing on real-time code execution, motion planning, and optimization systems while collaborating in a team environment.

Responsible for generating qualified sales leads, collaborating with sales teams, and maintaining CRM data. Requires 1-2 years of technical sales experience.

The Technical Recruiter at Tutor is responsible for the full recruiting lifecycle for engineering and research roles, sourcing, screening, and building relationships with candidates, and ensuring a positive candidate experience while maintaining recruiting data in the ATS.

Design and implement robotics control interfaces, own projects from concept to deployment, and enhance system reliability in production environments.

Architect and engineer core software for robotic and machine learning systems, contribute to project planning, and collaborate within teams.

The role involves developing software for robots to enhance capabilities in vision, motion, and control, focusing on complex problem-solving.

The Robotics Infrastructure Engineer manages robot reliability, cloud infrastructure, and developer tools while collaborating with AI agents for automation and debugging tasks.

Own the end-to-end development of one or more robots, from initial concepts and prototyping through manufacturing, deployment, and support. Design hardware, understand system-level tradeoffs, collaborate across teams, iterate quickly and methodically, and mentor other engineers. The role requires strong hands-on mechanical engineering ability and comfort working in fast-paced startups, labs, or technical teams.