Jobs at Tutor Intelligence

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.

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

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.

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.

Design and engineer core software for robots, including backend services and machine learning systems, while collaborating on new projects.

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.

Investigate and own real-world behavior of Tutor's robotic systems across environments. Diagnose complex issues across perception, motion, hardware, and operations using logs and telemetry; drive root-cause fixes, scale improvements across the fleet, collaborate with R&D and customer teams, and build tools and playbooks to improve field debugging and reliability.

Own a portfolio of customer sites running Tutor robots: diagnose software and hardware issues, build scripts/tooling and playbooks to automate recurring work, partner with engineering on fixes, track fleet health, and maintain customer relationships while spending onsite and remote time.

Develop, fine-tune, and deploy visual and language foundation models (e.g., SAM, DINO) to robots in the field; build cloud-based training and inference infrastructure; manage and optimize robot data flows and databases; contribute across the robotics stack including web UI and full-stack deployment.

Lead commercialization for the Cassie robotics product line: own roadmap, P&L, and market expansion. Engage customers, partners, investors; translate engineering input into external communication and technical solutions; drive multiple high-leverage commercial and strategic initiatives with strong written communication and follow-through.

Lead commercialization for the Cassie robotics product line: own roadmap, financials, partner and customer relationships, technical solutioning, and high-volume external communications. Drive new market identification, partnerships, and special strategic projects while coordinating engineering input and maintaining momentum across concurrent commercial threads.

Generate qualified pipeline across mid-market to enterprise manufacturers, distributors, 3PLs, and logistics providers. Conduct multi-channel outbound prospecting, qualify leads, map stakeholders across multi-site organizations, and collaborate with Enterprise Sales to schedule discovery meetings and maintain CRM data.

As a Robotics Research Scientist Intern, you will build AI algorithms for robotics in factories, focusing on problem-solving and collaboration with a team.

Lead end-to-end robot hardware development: design, prototype, manufacture, deploy, and support robots. Mentor engineers, collaborate cross-functionally, iterate rapidly, and own system-level tradeoffs.

Manage enterprise customer relationships, ensuring successful robotics deployment, aligning outcomes with business goals, and driving account growth through effective communication and cross-functional coordination.