{"schemaVersion":"jobsearcher.job.v1","id":"124d91c29231befbfd752497","url":"https://jobsearcher.com/jobs/124d91c29231befbfd752497","canonicalUrl":"https://jobsearcher.com/jobs/124d91c29231befbfd752497","title":"Computer Vision Engineer","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.\n\nOur Culture\n\nWe 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.\n\nAbout the Role\n\nBuild 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.\n\nYou 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.\n\nResponsibilities\nDefine the technical approach and success criteria for ambiguous perception problems in robot manipulation.\nBuild and integrate capabilities such as detection, segmentation, tracking, object pose estimation, and 3D scene understanding.\nOwn camera calibration, coordinate transforms, synchronization assumptions, and checks that expose degraded sensor quality.\nCreate reproducible datasets and evaluations covering changes in objects, lighting, viewpoint, and occlusion; prevent evaluation leakage.\nSelect and adapt geometric methods and learned models based on accuracy, latency, robustness, and operational constraints.\nDeploy and maintain perception in the robot stack; diagnose failures using recorded data and physical experiments.\nImprove shared evaluation tools and documentation, contribute to design reviews, and mentor colleagues in your domain.\nRequirements\nEvidence of independently owning a substantial computer-vision system from an ambiguous problem through tested integration.\nStrong Python engineering and experience writing maintainable code, tests, and reproducible experiments.\nPractical command of camera models, calibration, coordinate frames, and 3D geometry.\nExperience with geometric vision or learned visual models, with the judgment to explain when each approach is appropriate.\nAbility to build representative evaluations, isolate failure modes, and distinguish model improvements from data or measurement artifacts.\nAbility to communicate technical tradeoffs and resolve interfaces with engineers in other disciplines.\nNice to have\nPerception deployed on physical robots, especially manipulation systems.\nMulti-camera or depth systems, sensor fusion, SLAM, or object pose estimation.\nOpenCV, Open3D or PCL; a modern deep-learning framework; C++ or GPU optimization.\n\nWhat Success Looks Like\n\nEstablish a reproducible baseline, meaningful evaluation, and documented sensing assumptions for an agreed perception problem.\nDeliver a measured improvement that holds up on the physical robot and meets runtime constraints.\nKeep the system diagnosable and usable by colleagues through reliable calibration checks, failure analysis, and documentation.\nAbout our Roles & Titles\n\nAt 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.\n\nThat 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.\n\nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.","company":"Tutor Intelligence","rawCompany":"tutor intelligence","city":"Watertown","state":"MA","isRemote":false,"isActive":true,"createdAt":"2026-10-09T11:28:15.595Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"611710","title":"Educational Support Services","slug":"educational-support-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Engineer","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.\n\nOur Culture\n\nWe 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.\n\nAbout the Role\n\nBuild 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.\n\nYou 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.\n\nResponsibilities\nDefine the technical approach and success criteria for ambiguous perception problems in robot manipulation.\nBuild and integrate capabilities such as detection, segmentation, tracking, object pose estimation, and 3D scene understanding.\nOwn camera calibration, coordinate transforms, synchronization assumptions, and checks that expose degraded sensor quality.\nCreate reproducible datasets and evaluations covering changes in objects, lighting, viewpoint, and occlusion; prevent evaluation leakage.\nSelect and adapt geometric methods and learned models based on accuracy, latency, robustness, and operational constraints.\nDeploy and maintain perception in the robot stack; diagnose failures using recorded data and physical experiments.\nImprove shared evaluation tools and documentation, contribute to design reviews, and mentor colleagues in your domain.\nRequirements\nEvidence of independently owning a substantial computer-vision system from an ambiguous problem through tested integration.\nStrong Python engineering and experience writing maintainable code, tests, and reproducible experiments.\nPractical command of camera models, calibration, coordinate frames, and 3D geometry.\nExperience with geometric vision or learned visual models, with the judgment to explain when each approach is appropriate.\nAbility to build representative evaluations, isolate failure modes, and distinguish model improvements from data or measurement artifacts.\nAbility to communicate technical tradeoffs and resolve interfaces with engineers in other disciplines.\nNice to have\nPerception deployed on physical robots, especially manipulation systems.\nMulti-camera or depth systems, sensor fusion, SLAM, or object pose estimation.\nOpenCV, Open3D or PCL; a modern deep-learning framework; C++ or GPU optimization.\n\nWhat Success Looks Like\n\nEstablish a reproducible baseline, meaningful evaluation, and documented sensing assumptions for an agreed perception problem.\nDeliver a measured improvement that holds up on the physical robot and meets runtime constraints.\nKeep the system diagnosable and usable by colleagues through reliable calibration checks, failure analysis, and documentation.\nAbout our Roles & Titles\n\nAt 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.\n\nThat 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.\n\nTutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.","datePosted":"2026-10-09T11:28:15.595Z","dateModified":"2026-10-09T11:28:15.595Z","hiringOrganization":{"@type":"Organization","name":"Tutor Intelligence","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Watertown","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"124d91c29231befbfd752497"},"url":"https://jobsearcher.com/jobs/124d91c29231befbfd752497"}}