---
title: 'Lead Hardware Engineer – Production at Tutor Intelligence'
canonical: 'https://feeny.ai/job/lead-hardware-engineer-production-tutor-intelligence-watertown-cvzemq1w4j0v'
type: 'job'
last_seen: '2026-10-21'
---

# Lead Hardware Engineer – Production at Tutor Intelligence

- **Company:** Tutor Intelligence
- **Location:** Watertown, MA
- **Compensation:** $150k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-21
- **Apply:** https://jobs.lever.co/tutorintelligence/9d0edff2-bce8-4277-a150-840235cd0204

## Job description

## About Tutor

We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, everything we build at Tutor has a direct impact on the global, physical economy. In 2026 we opened our first manufacturing facility in Watertown, MA, and we're scaling to 1,000+ robots in the field by 2028.

Our Culture We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We're characterized by both technical excellence and next-level collaboration and respect.

## Why This Role Matters

Getting from dozens of robots to more than 1,000 is an engineering problem, not a headcount problem. Many of the designs, test systems and manufacturing processes that will get us there don't exist yet. This role is the technical leader who builds them.

## The Role

You're the technical lead of our Production Engineering team. You're a senior hardware engineer the hardware team respects, the person who jumps in to root-cause a problem on a robot we need to ship, and the mentor who raises the bar for the engineers around you. You report to the Head of Manufacturing. Your mission is to build the environment that lets our manufacturing team produce high-quality robots at a competitive cost: designs that are easy to build, test and service, manufacturing systems that catch problems early, and test coverage that keeps defects out of the field. Your first priority is getting robots through bring-up and FAT clean: drive the top recurring build failures to permanent fixes and stand up the test systems our line needs. This is not a traditional manufacturing engineering role. You've designed and owned hardware. You can open a schematic, put a scope on a board and find the problem, and you shape the product with design engineering instead of building whatever is handed over.

Example projects you might work on: Bench tests for drive and axis subassemblies so failures are caught before they're installed on a robot A functional test for the robot's main electrical bulkhead, the brains of the robot Inline testing so every robot is tested station to station and drives off the line A DFMEA on our current platform to rank failure risks and design out the top ones in upcoming builds Harness and access changes that make repairs faster on the line and in the field

## What You'll Own

- Technical leadership: Lead Production Engineering technically. Set engineering standards, mentor and develop engineers, review their work and be the escalation point for the hardest problems on the floor.
- Robot debug and recurring failures: Jump in to debug electrical, mechanical and system-level issues on robots we're trying to ship, across PCBAs, power distribution, harnesses, sensors, actuators, motor controls and communication interfaces. Drive recurring build issues to root cause, permanent corrective action and validation.
- Test systems: Own the manufacturing test architecture and build the test systems, fixtures and diagnostics from component test through bring-up, end-of-line test and Factory Acceptance Testing (FAT). When our Quality & Reliability Engineer finds a test gap, you build what closes it.
- Design for X (DFX): Be manufacturing's voice in hardware design reviews. Drive design for manufacturing, test and service (DFM/DFT/DFS) early, and push back on decisions that add complexity, quality risk or cost.
- NPI and production readiness: Bring new robot platforms and engineering changes into production with validated processes, tooling, fixtures, work instructions and test coverage in place. Define test data and traceability requirements so build and test results flow into our MES.
- Yield and cost: Own first-pass yield, rework and cost-to-build. Drive down labor, scrap and BOM cost without giving up reliability, and qualify part changes and second sources for robots in production.

What Success Looks Like

- 90 days: You've debugged robots on the floor alongside the team and earned their trust. You're a regular voice in hardware design reviews, the top recurring build and FAT failures have clear root causes and fixes in motion, and Production Engineering has clear technical standards and a test strategy roadmap.
- 1 year: Robots pass bring-up and FAT with minimal rework, first-pass yield is climbing, cost-to-build is down, and fewer manufacturing-related failures reach the field. New platforms launch with DFX and test coverage built in, the hardware team brings you in early, and output scales faster than headcount.

Required

- Bachelor's in Electrical, Mechanical, Computer or Mechatronics Engineering. A Master's is a plus.
- Senior hardware engineering experience (typically 8+ years) designing, integrating and debugging complex electromechanical systems. You've owned hardware, not just the process that builds it.
- Strong electrical fundamentals. You read schematics, use scopes and meters, and personally isolate root cause across power, PCBAs, sensors, actuators and communication interfaces.
- A track record of driving recurring failures to permanent corrective action.
- Hands-on DFM/DFT experience working with design engineering to make products buildable, testable and cost-effective.
- Experience building test systems: fixtures, bring-up, end-of-line or automated test.
- Experience taking hardware from development through NPI into volume production.
- Experience as a technical lead: setting standards, reviewing work and mentoring engineers.
- You use AI tools like Claude daily in your engineering work. Be ready to walk us through something you built with them.

## Preferred

- Robotics, industrial automation or startup experience taking a product from low volume to scale.
- Cost reduction work: should-cost, value engineering or BOM and labor reduction.
- Python for test automation, diagnostics or data analysis.
- PCB design reviews and design for testability.
- MES, traceability or engineering change control experience.
- Contract manufacturer or supplier bring-up.

## Why Join

Build the production system. The designs, test systems and processes that take us from dozens of robots to 1,000+ don't exist yet. You build them. Set the technical bar. You define the standard for Production Engineering and mentor the engineers who grow with it. Real hardware, real stakes. Debug robots on the floor, shape the design with hardware engineering and see your fixes running at customer sites. AI is how we work. You'll have the tools and the backing to automate what most factories still do by hand. Direct line to leadership. Report to the Head of Manufacturing and work side by side with hardware, software and deployment teams.

How We Work: Our Values in This Role We hire against our values, and we'll interview you against them too. Here's what they look like in this seat: Love of the Game. You'd rather be at the bench with a scope on a board than in a slide review. Gumption. When a robot won't ship, you're already on the floor finding out why. Beginner's Mindset. You question how we build and test today, and you change your mind fast when the data says to. Belief in Each Other. You raise the bar for the engineers around you and earn the hardware team's respect by being right and being fair. Keep Moving Forward. You find the fix that keeps the line moving today, then make it permanent. Customer Obsession. Every shortcut on the line shows up at a customer site. You build it right.

## 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)

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