{"schemaVersion":"jobsearcher.job.v1","id":"1b9c0d66280be194dff60cd6","url":"https://jobsearcher.com/jobs/1b9c0d66280be194dff60cd6","canonicalUrl":"https://jobsearcher.com/jobs/1b9c0d66280be194dff60cd6","title":"Robotics Forward Deployed Engineer","description":"The Company\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.\n\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.\n\nThe Role\nWe're looking for a technically credible, customer-oriented engineer to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time.\n\nThis isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right.\n\nThe role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and rely on you. You'll spend real time on-site at your facilities, remote time on diagnosis, tuning, and building, and ongoing time partnering with your customers' engineering and operations leaders. Your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership — and the right person is energized by all three.\n\nOwn a portfolio of customer sites end-to-end: be the primary technical partner for each, build deep trust with their operations, engineering, and maintenance teams, and be accountable for the operational and technical success of those deployments.\n\nAutomate yourself out of the repetitive work. Convert recurring manual interventions into tooling, scripts, and playbooks that your customers and our remote team can run without you. The fleet grows; your manual workload shouldn't. This is the core of the job, not a side effect.\n\nDevelop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and build real solutions at the boundary of the product.\n\nDiagnose and resolve ambiguous, multi-factor issues in real-world environments — across software configuration, mechanical adjustment, process change, and root-cause analysis — and own the ones with no playbook yet.\n\nPartner with engineering on the deeper fixes: package high-confidence cases with repro conditions, logs, and a likely root cause, and bring field validation rather than just a complaint.\n\nTrack the health and performance of your fleet — uptime, reliability, throughput, customer satisfaction — and act proactively on early signals.\n\nBe the voice of your customers in our internal roadmap conversations; translate field reality into structured product insight.\n\nPartner with Account Executives on expansion conversations, where operational success creates natural openings for growth.\n\nYou clear a real technical floor, and then we select hard on judgment and people skills. Both halves matter; the second is what we weight most.\n\nThe technical floor (pass/fail)\n\n3–7+ years in a technical, ideally customer-facing role: applications/field engineering, robotics deployment, solutions engineering, technical account management, or similar.\n\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology.\n\nComfortable working hands-on with both software and physical systems in messy operational environments. You can read logs and telemetry, reason about a system you didn't build, and write the scripts/tooling to automate a manual process — you don't need to have built the robot from scratch.\n\nWhat we actually rank on\n\nThrives in ambiguity — can take a vague, half-described, multi-factor problem with no clear owner and drive it to resolution. This is the single quality we weight most heavily.\n\nStrong judgment about what to fix yourself, what to automate, and what to elevate.\n\nGenuine relationship orientation — you take pride in being trusted by a customer over years, not just in shipping a project.\n\nClear communication in both directions: technically credible with customer engineering and ops teams, and plain-spoken with non-technical operators and leaders.\n\nThe reality of the job\n\nRoughly 30% travel to customer sites. The work happens on factory and warehouse floors — early shifts, PPE, noise, and real industrial environments. If that energizes you, great; if it doesn't, this isn't the role.\n\nDirect experience deploying or supporting robotics in production.\n\nBackground in warehouse, manufacturing, or other industrial operations.\n\nExperience bringing field context into engineering decisions to resolve technical issues.\n\nDeep interest in robotics, automation, or the future of physical AI.\n\nWork at the intersection of cutting-edge robotics and real-world industrial operations.\n\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility.\n\nJoin during a period of rapid growth, where this function is central to scaling the fleet.\n\nHelp define what this function looks like at Tutor — you'll be among the people who build the tooling and playbooks that later hires inherit.\n\n#J-18808-Ljbffr","company":"Tutorintelligence","rawCompany":"tutorintelligence","city":"Watertown","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:15:02.747Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics Forward Deployed Engineer","description":"The Company\nTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.\n\nFounded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.\n\nThe Role\nWe're looking for a technically credible, customer-oriented engineer to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time.\n\nThis isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right.\n\nThe role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and rely on you. You'll spend real time on-site at your facilities, remote time on diagnosis, tuning, and building, and ongoing time partnering with your customers' engineering and operations leaders. Your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership — and the right person is energized by all three.\n\nOwn a portfolio of customer sites end-to-end: be the primary technical partner for each, build deep trust with their operations, engineering, and maintenance teams, and be accountable for the operational and technical success of those deployments.\n\nAutomate yourself out of the repetitive work. Convert recurring manual interventions into tooling, scripts, and playbooks that your customers and our remote team can run without you. The fleet grows; your manual workload shouldn't. This is the core of the job, not a side effect.\n\nDevelop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and build real solutions at the boundary of the product.\n\nDiagnose and resolve ambiguous, multi-factor issues in real-world environments — across software configuration, mechanical adjustment, process change, and root-cause analysis — and own the ones with no playbook yet.\n\nPartner with engineering on the deeper fixes: package high-confidence cases with repro conditions, logs, and a likely root cause, and bring field validation rather than just a complaint.\n\nTrack the health and performance of your fleet — uptime, reliability, throughput, customer satisfaction — and act proactively on early signals.\n\nBe the voice of your customers in our internal roadmap conversations; translate field reality into structured product insight.\n\nPartner with Account Executives on expansion conversations, where operational success creates natural openings for growth.\n\nYou clear a real technical floor, and then we select hard on judgment and people skills. Both halves matter; the second is what we weight most.\n\nThe technical floor (pass/fail)\n\n3–7+ years in a technical, ideally customer-facing role: applications/field engineering, robotics deployment, solutions engineering, technical account management, or similar.\n\nTechnical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology.\n\nComfortable working hands-on with both software and physical systems in messy operational environments. You can read logs and telemetry, reason about a system you didn't build, and write the scripts/tooling to automate a manual process — you don't need to have built the robot from scratch.\n\nWhat we actually rank on\n\nThrives in ambiguity — can take a vague, half-described, multi-factor problem with no clear owner and drive it to resolution. This is the single quality we weight most heavily.\n\nStrong judgment about what to fix yourself, what to automate, and what to elevate.\n\nGenuine relationship orientation — you take pride in being trusted by a customer over years, not just in shipping a project.\n\nClear communication in both directions: technically credible with customer engineering and ops teams, and plain-spoken with non-technical operators and leaders.\n\nThe reality of the job\n\nRoughly 30% travel to customer sites. The work happens on factory and warehouse floors — early shifts, PPE, noise, and real industrial environments. If that energizes you, great; if it doesn't, this isn't the role.\n\nDirect experience deploying or supporting robotics in production.\n\nBackground in warehouse, manufacturing, or other industrial operations.\n\nExperience bringing field context into engineering decisions to resolve technical issues.\n\nDeep interest in robotics, automation, or the future of physical AI.\n\nWork at the intersection of cutting-edge robotics and real-world industrial operations.\n\nOwn the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility.\n\nJoin during a period of rapid growth, where this function is central to scaling the fleet.\n\nHelp define what this function looks like at Tutor — you'll be among the people who build the tooling and playbooks that later hires inherit.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:15:02.747Z","dateModified":"2026-07-16T03:15:02.747Z","hiringOrganization":{"@type":"Organization","name":"Tutorintelligence","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Watertown","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1b9c0d66280be194dff60cd6"},"url":"https://jobsearcher.com/jobs/1b9c0d66280be194dff60cd6"}}