--- title: 'Hardware Systems Integration Engineer (Mandarin) at Tutor Intelligence' canonical: 'https://feeny.ai/job/hardware-systems-integration-engineer-mandarin-tutor-intelligence-watertown-9jttnmzvd7dn' type: 'job' last_seen: '2026-10-14' --- # Hardware Systems Integration Engineer (Mandarin) at Tutor Intelligence - **Company:** Tutor Intelligence - **Location:** Watertown, MA - **Compensation:** $150k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-01 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.lever.co/tutorintelligence/bfe5d45b-69b4-4835-9370-038125c25c49 ## Job description The Company 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, every line of code written at Tutor has a direct impact on the global, physical economy. 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. ## About the Role Our robots are built from hardware we design and hardware we buy, and many of our suppliers are in China. We're looking for an engineer to evaluate that hardware, integrate it into our robots, and work directly with the suppliers who make it. This is an engineering role. You will measure suppliers' hardware on the bench, review their designs, find where they fall short, and work with their engineers, in Mandarin, on the fix. You will be based in Watertown and spend a large part of your time at supplier sites. As this work grows, there is room to hire and lead other engineers doing it. ## What You'll Do - Evaluate new hardware: Characterize arms, actuators, sensors and other components on the bench, including torque, stiffness, backlash, thermal behavior and electrical noise - Review suppliers' designs: Read their drawings and schematics, find the weak points, and propose changes - Integrate and test: Design the mounts, harnesses and interfaces that put new hardware on our robots, then test until it holds up - Work with suppliers' engineers: Spend time at their sites, agree on changes, and keep the work moving between visits - Carry our requirements: Make sure the people building for us understand what we need and why - Build prototypes: Run small prototype builds and bring what you learn back to the design team - Travel: Spend roughly a third to half of your time in China ## What We're Looking For - Depth in mechanical or electrical engineering: You have designed hardware that shipped, and you can explain the design decisions you made - Working ability in the other discipline: A mechanical engineer who can read a schematic and probe a board, or an electrical engineer who can read a drawing and reason about loads and tolerances - Experience developing hardware with suppliers or factories in China: You have taken a product from prototype toward production with them - Fluent Mandarin and English: You can hold a technical discussion and write a specification in both - Strong test and measurement habits: You build test setups, take measurements, and write up what you found - Willing to travel: Long and frequent trips are part of the job ## Nice to Have - Experience with robot arms, actuators or motor drives - Firmware or embedded experience - Experience hiring or leading engineers - Time spent living and working in China ## About Our Roles & Titles At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process. That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on. ## 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 - [Mechanical Engineer](https://feeny.ai/job/mechanical-engineer-tutor-intelligence-watertown-5j8xn13pk2v8) — Watertown, MA - [Electrical Engineer](https://feeny.ai/job/electrical-engineer-tutor-intelligence-watertown-1cebsnsrhhba) — Watertown, MA - [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 - [Technical Customer Engineer](https://feeny.ai/job/technical-customer-engineer-tutor-intelligence-watertown-ghn697rtweyp) — Watertown, MA - [Controls Engineer (Robotics)](https://feeny.ai/job/controls-engineer-robotics-tutor-intelligence-watertown-qwfrk2q5g2x7) — Watertown, MA - [Perception Engineer, Robot Safety](https://feeny.ai/job/perception-engineer-robot-safety-tutor-intelligence-watertown-73bcgqe7j3kk) — Watertown, MA - [Engineering Manager, Platform & Infrastructure](https://feeny.ai/job/engineering-manager-platform-infrastructure-tutor-intelligence-watertown-2g4az55xs1my) — Watertown, MA