---
title: 'Computer Vision Engineer at Tutor Intelligence'
canonical: 'https://feeny.ai/job/computer-vision-engineer-tutor-intelligence-watertown-32ee4y139e7j'
type: 'job'
last_seen: '2026-10-14'
---

# Computer Vision 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/f922edc4-cf80-4392-9c6a-f57ed1bb3d12

## 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

Build perception that makes robot manipulation experiments reliable. You will own a significant vision system from problem definition and data collection through evaluation, integration, and ongoing improvement on physical robots. The work combines camera geometry and learned models, with decisions grounded in measured performance. You will work closely with research, software, mechanical, and electrical engineers to understand failures across sensing, algorithms, and the robot environment. This role focuses on perception and its integration into manipulation systems.

## Responsibilities

- Define the technical approach and success criteria for ambiguous perception problems in robot manipulation.
- Build and integrate capabilities such as detection, segmentation, tracking, object pose estimation, and 3D scene understanding.
- Own camera calibration, coordinate transforms, synchronization assumptions, and checks that expose degraded sensor quality.
- Create reproducible datasets and evaluations covering changes in objects, lighting, viewpoint, and occlusion; prevent evaluation leakage.
- Select and adapt geometric methods and learned models based on accuracy, latency, robustness, and operational constraints.
- Deploy and maintain perception in the robot stack; diagnose failures using recorded data and physical experiments.
- Improve shared evaluation tools and documentation, contribute to design reviews, and mentor colleagues in your domain.

## Requirements

- Evidence of independently owning a substantial computer-vision system from an ambiguous problem through tested integration.
- Strong Python engineering and experience writing maintainable code, tests, and reproducible experiments.
- Practical command of camera models, calibration, coordinate frames, and 3D geometry.
- Experience with geometric vision or learned visual models, with the judgment to explain when each approach is appropriate.
- Ability to build representative evaluations, isolate failure modes, and distinguish model improvements from data or measurement artifacts.
- Ability to communicate technical tradeoffs and resolve interfaces with engineers in other disciplines.

## Nice to have

- Perception deployed on physical robots, especially manipulation systems.
- Multi-camera or depth systems, sensor fusion, SLAM, or object pose estimation.
- OpenCV, Open3D or PCL; a modern deep-learning framework; C++ or GPU optimization.

What Success Looks Like

- Establish a reproducible baseline, meaningful evaluation, and documented sensing assumptions for an agreed perception problem.
- Deliver a measured improvement that holds up on the physical robot and meets runtime constraints.
- Keep the system diagnosable and usable by colleagues through reliable calibration checks, failure analysis, and documentation.

## 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
- [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
- [Hardware Systems Integration Engineer (Mandarin)](https://feeny.ai/job/hardware-systems-integration-engineer-mandarin-tutor-intelligence-watertown-9jttnmzvd7dn) — 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