---
title: 'Mechanical Engineer at Tutor Intelligence'
canonical: 'https://feeny.ai/job/mechanical-engineer-tutor-intelligence-watertown-5j8xn13pk2v8'
type: 'job'
last_seen: '2026-10-14'
---

# Mechanical Engineer at Tutor Intelligence

- **Company:** Tutor Intelligence
- **Location:** Watertown, MA
- **Compensation:** $100k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.lever.co/tutorintelligence/9e010ddf-bcd9-46fa-be85-9e0e6b611ab6

## Job description

Tutor Intelligence builds AI robotics systems and deploys them into the facilities that need them. We believe research and deployment should improve each other: real-world operation reveals the problems worth solving, and better technology makes robots more useful. Join a team where your designs, experiments, and code have a direct impact on physical systems.

Our Culture

We value technical excellence, collaboration, and respect. Engineers take ownership, make tradeoffs explicit, and help colleagues do better work. We move quickly through building, testing, and learning from what happens on the robot.

## About the Role

Own complex mechanical subsystems that make robot manipulation and data collection work. You will turn uncertain requirements into mechanisms, end effectors, fixtures, and sensor assemblies, then carry those designs through fabrication, integration, validation, and repeatable builds.

This is a hands-on design role. You will define the approach within your scope, work closely with electrical, software, and research colleagues, and stay responsible for the reliability and maintainability of the hardware you build.

## Responsibilities

- Translate manipulation and data-collection goals into mechanical requirements, interface definitions, and validation plans.
- Design complex parts and assemblies in CAD, including actuated mechanisms, end effectors, mounts, enclosures, and fixtures.
- Justify actuator, material, bearing, fastener, and process choices using load, stiffness, tolerance, wear, and packaging requirements.
- Build and test prototypes; use measurements and failure analysis to guide rapid, methodical iteration.
- Anticipate integration risks with sensors, wiring, electronics, and control software and drive their resolution.
- Deliver drawings, bills of materials, assembly instructions, and acceptance tests for repeatable fabrication and handoff.
- Follow build and operating feedback after delivery, resolve reliability issues, and improve design-review and documentation practices.

## Requirements

- Evidence of independently owning complex mechanical design work through fabrication, integrated testing, and sustained use.
- Strong 3D CAD, engineering drawings, tolerance analysis, and practical application of GD&T.
- Sound mechanics and the ability to justify design choices with calculations, analysis, and experiment.
- Hands-on skill in prototyping and assembly, and practical understanding of machining and manufacturing processes.
- Ability to explain a failed design, the evidence that isolated the cause, and the iteration that resolved it.
- Ability to coordinate across disciplines, communicate risks early, and produce documentation others can build from.

## Nice to have

- Robot end effectors, precision or compliant mechanisms, or other actuated hardware.
- Taking prototypes into repeatable production and using field feedback to improve reliability.
- Mechatronics, sensor integration, FEA, or basic controls and programming.

What Success Looks Like

- Define and validate an agreed subsystem with clear mechanical and software interfaces.
- Deliver a reliable integrated build and resolve the largest uncertainties through targeted experiments.
- Make fabrication, assembly, maintenance, and subsequent iterations repeatable for other team members.

## About Tutor Intelligence

## Company Overview
- **One-liner**: Tutor Intelligence builds AI-powered robot workers for manufacturing and logistics, deploying intelligent physical automation that adapts to dynamic industrial environments.
- **Entity Type**: Private (Series A, total funding $78.7M)
- **Headquarters**: Watertown, Massachusetts, USA
- **Founded**: 2021 (earliest corporate round)
- **Founders**: Josh Gruenstein (CEO) and Alon Kosowsky-Sachs (Co-Founder)

## Core Business
- Primary industry/industries: Robotics, Artificial Intelligence, Industrial Automation, Logistics & Warehousing
- Target customers: B2B – manufacturing plants, warehouses, 3PLs, and large-scale industrial operations (Enterprise)
- Mission or purpose statement: "To build fundamental AI technology to enable generally capable robot workers and partner with industry to deploy them" – solving the hardest problems in physical machine intelligence.

## Products & Services
- **[Cassie](https://tutorintelligence.com/)**: A purpose-built robot for material handling – palletizing, depalletizing, and case picking. Deployed in days, handles unlimited SKUs, works 24/7 with a simple tablet interface. Pricing starts at $14/hour per robot or per-pick models.
- **[Sonny](https://tutorintelligence.com/)**: A humanoid robot designed for the "messy middle" of manual labor – complex assembly, irregular tasks. Industrial-grade hardware, trained on internet-scale data. Available for deployment starting late 2026.
- **Platform & Fleet Management**: Full B2B logistics workflow automation (replen to picking to palletizing) with per-pick pricing, remote 24/7 support, and continuous AI improvements.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $78.7M (latest round: $40.5M venture round in June 2025; Series A $34M in December 2025 led by Union Square Ventures and Fundomo)
- **Notable Investors/Partners**: Union Square Ventures, Fundomo; partners with world’s largest 3PLs and brands (deployed in dozens of factories and warehouses)
- **Growth Signals**: Headcount grew 278.8% YoY to 69 employees (as of early 2026); 38 active job postings; monthly job postings up 40.7%; expanding into humanoid robotics with Sonny; offices across US, India, Canada, Portugal, South Africa.

## Competitive Advantages
- **Deployment speed**: Robots are operational "in days" without changes to existing infrastructure – reads pallet specs like human workers.
- **Flexible pricing**: Per-hour ($14/hr) or per-pick models with no contract lock-in, lowering cost of fulfillment by 20%+.
- **AI-first approach**: Robots learn from human interaction in real environments, continuously improving via an intelligence platform.
- **Proven real-world impact**: Already deployed across dozens of facilities for major brands, not just pilots.

## Strategic Focus
- Scale deployments of Cassie across more warehouses and factories.
- Launch Sonny humanoid robot in late 2026 for complex manual tasks.
- Continue advancing physical AI research (founded out of MIT CSAIL) to expand robot capabilities into new industries.
- Grow the fleet and per-pick pricing model to capture more of the B2B logistics workflow.

## Why Work Here
- **Culture**: Fast-paced startup with deep roots in MIT CSAIL research – a blend of cutting-edge AI/robotics and real-world industrial impact.
- **Work model**: On-site in Watertown, MA (employees work from physical offices). Offices also in India, Canada, Portugal, South Africa.
- **Growth**: 278% YoY headcount growth, 38 open roles across engineering, research, sales, and operations – strong upward mobility.
- **Roles**: Robotics engineers, perception engineers, full-stack developers, research scientists, field technicians, account executives, and more.
- **Perks**: Not explicitly listed, but emphasis on 24/7 remote support, always-on AI improvements, and no contract lock-in suggests a team that values reliability and customer success.
- **Engineering culture**: Focus on solving hardest problems in machine intelligence; teams work at the edge of AI, robotics, and operations.

## Sources
1. [tutorintelligence.com](https://tutorintelligence.com/)
2. [tutorintelligence.com/about](https://tutorintelligence.com/about)
3. [LinkedIn Company Page](https://www.linkedin.com/company/tutorintelligence)
4. [Built In Boston – Tutor Intelligence](https://www.builtinboston.com/company/tutor-intelligence)

## Other roles at Tutor Intelligence

- [Robotics Research Infrastructure](https://feeny.ai/job/robotics-research-infrastructure-tutor-intelligence-watertown-zrn654bw8avm) — Watertown, MA
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- [Computer Vision Engineer](https://feeny.ai/job/computer-vision-engineer-tutor-intelligence-watertown-32ee4y139e7j) — Watertown, MA
- [Robotics Test & Troubleshooting Technician](https://feeny.ai/job/robotics-test-troubleshooting-technician-tutor-intelligence-watertown-7ak283k2622h) — Watertown, MA
- [Shop Steward](https://feeny.ai/job/shop-steward-tutor-intelligence-watertown-5jtpvjzqcfak) — Watertown, MA
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