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Robotics Deployment Engineer Jobs in Massachusetts

Deployment & Applications Engineer

Boston, MA · On-site

$102K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Within Wonder, the Robotics team is a core pillar of our innovation strategy. We build the ... Deployment & Applications Engineer to support the deployment of our Infinite Kitchens across the ...

Deployment & Applications Engineer

Boston, MA · On-site

$102K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Within Wonder, the Robotics team is a core pillar of our innovation strategy. We build the ... Deployment & Applications Engineer to support the deployment of our Infinite Kitchens across the ...

... deployments • Develop deep working knowledge of our robot systems -- software, hardware, and operational characteristics -- sufficient to diagnose issues credibly and partner with engineering on ...

Showing results 21-40

Robotics Deployment Engineer information

What is a robotics deployment engineer?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by robotics deployment engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

What are the key skills and qualifications needed to thrive as a robotics deployment engineer, and why are they important?

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.

What are popular job titles related to Robotics Deployment Engineer jobs in Massachusetts?

For Robotics Deployment Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Robotics Deployment Engineer jobs in Massachusetts look for?

The top searched job categories for Robotics Deployment Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Robotics Deployment Engineer jobs?

Cities in Massachusetts with the most Robotics Deployment Engineer job openings:

Infographic showing various Robotics Deployment Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Robotics Forward Deployed Engineer

Tutor Intelligence

Watertown, MA

$80K - $160K/yr

Full-time

Re-posted 2 days ago


Job description

The Company
Tutor 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.
 
Founded 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.
 
The Role

We'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.

This 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.

The 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.

 
Responsibilities
  • Own 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.
  • Automate 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.
  • Develop 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.
  • Diagnose 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.
  • Partner 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.
  • Track the health and performance of your fleet — uptime, reliability, throughput, customer satisfaction — and act proactively on early signals.
  • Be the voice of your customers in our internal roadmap conversations; translate field reality into structured product insight.
  • Partner with Account Executives on expansion conversations, where operational success creates natural openings for growth.
Requirements

You 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.

The technical floor (pass/fail):

  • 3–7+ years in a technical, ideally customer-facing role: applications/field engineering, robotics deployment, solutions engineering, technical account management, or similar.
  • Technical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology.
  • Comfortable 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.

What we actually rank on:

  • Thrives 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.
  • Strong judgment about what to fix yourself, what to automate, and what to escalate.
  • Genuine relationship orientation — you take pride in being trusted by a customer over years, not just in shipping a project.
  • Clear communication in both directions: technically credible with customer engineering and ops teams, and plain-spoken with non-technical operators and leaders.

The reality of the job:

  • Roughly 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.
Nice to haves (zero or more)
  • Direct experience deploying or supporting robotics in production.
  • Background in warehouse, manufacturing, or other industrial operations.
  • Experience bringing field context into engineering decisions to resolve technical issues.
  • Deep interest in robotics, automation, or the future of physical AI.
Why This Role Is Unique
  • Work at the intersection of cutting-edge robotics and real-world industrial operations.
  • Own the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility.
  • Join during a period of rapid growth, where this function is central to scaling the fleet.
  • Help define what this function looks like at Tutor — you'll be among the people who build the tooling and playbooks that later hires inherit.
Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.