Robotics Quality & Reliability Engineer

Reposted 2 Days Ago
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Watertown, MA, USA
In-Office
120K-200K Annually
Mid level
Artificial Intelligence • Software
The Role
Define and build manufacturing, component, returned-part, and factory acceptance tests for electromechanical robots. Create procedures, fixtures, automated scripts, diagnostic tools, and failure-analysis processes. Debug hardware on the production floor, analyze manufacturing and field failure data, improve test coverage, drive corrective actions, and ensure results are traceable through MES and serial numbers.
Summary Generated by Built In
About Tutor

We believe robots will be the next chapter in making physical labor safer and more affordable. But, nearly nine out of ten American factories and warehouses don’t have a single robot. Tutor Intelligence is changing that.

We build robots that go straight into real factories and warehouses, to do real work, with real impact. Our robot Cassie does back-breaking work, moving boxes, pallets, and bulk goods for family-owned manufacturers to some of the largest brands in the world. Our robot Sonny does handwork, using two arms to achieve human-like dexterity in picking and packing. Every robot learns on the job, and each one we deploy makes the next one more capable, more affordable, and faster to put to work.

Founded at MIT and headquartered in Watertown, MA, we do it all in-house: the robotics hardware, the machine learning, and the field deployment and service. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems.

Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.

The Role

    You're our first quality and reliability engineer: the hardware engineer dedicated to quality and reliability for production, building the function from the ground up. You report to the Head of Manufacturing and have the authority to hold any robot that doesn't meet the bar.

    Your first priority is returned material: containment, MRB, failure analysis and supplier RMAs, tracked in tools you build with AI. Ship and incoming quality gates come next.

    Up to 25% travel to customer sites and suppliers.

    Example projects you might work on:

  • A failure tracker that ties every returned robot arm joint to its serial number, build and supplier, and shows which joints fail and why
  • Incoming inspection and test for refurbished robot arms before they reach the line
  • A screening process for a batch of suspect control boxes, from quarantine through supplier return
  • An automated ship gate that pulls test results from our MES and blocks a robot that's missing a check
  • A weekly fleet quality report that Engineering, Deployment and Customer Success actually use

Why This Role Matters

    Every robot we ship goes to work at a customer's site. A failure there costs us far more than one caught on our floor. We need one engineer who owns two answers: are we shipping good robots, and what is failing and why.

What You'll Own

  • Containment and MRB: When a failure is found, contain it. Quarantine suspect stock and identify every robot in the factory and field that could be affected. Run our weekly Material Review Board: disposition, RCA owners and corrective actions to closure.
  • Failure analysis on returned material: Own FA on every returned part and field failure, including robot arms, control boxes, PCBAs, drives, power systems, sensors and harnesses. Direct technicians on teardowns and bench tests, make the root cause call and verify the fix works.
  • FRACAS and reliability data: Build and run our FRACAS (failure reporting, analysis and corrective action system) using AI tools like Claude, on top of our MES, field tickets and robot telemetry. Track failures by component, supplier and serial number, plus repeat failures and escapes. Set reliability targets (MTBF, failure rate) for critical subsystems and track the factory and fleet against them. Give Engineering, Manufacturing, Deployment and Customer Success a regular, data-based view of where quality stands, and feed it into design reviews.
  • Supplier RMAs: Be the technical point of contact with suppliers on parts we RMA. Send failure data and FA results, push for their root cause, issue SCARs and hold them to corrective actions, credits and replacements.
  • Quality gates: Set the pass/fail criteria for incoming parts and finished robots, and make the ship/hold call. When a failure exposes a test gap, define what's needed, Production Engineering builds it, and you verify it catches the failure. Qualify new parts, refurbished parts and supplier changes before they reach the line.

What Success Looks Like

  • 90 days: Every returned part has an owner, a status and a root cause path. MRB runs weekly on data. Every open supplier RMA has FA results and a supplier response. A live failure dashboard is in use across teams.
  • 1 year: Field escapes are trending toward zero. Repeat failures on our top failure modes are down measurably. Incoming and ship gates are defined and largely automated. Leadership gets quality answers from your data, not from meetings.

Required

  • You've personally driven production or field failures on electromechanical hardware (robots, automation, vehicles, industrial equipment or similar) to a verified root cause and corrective action.
  • 4+ years in quality, reliability, test or hardware engineering.
  • Bachelor's in Electrical, Mechanical, Computer Engineering or a related field.
  • Experience working directly with suppliers on RMAs and corrective actions.
  • You've built tools with AI (scripts, dashboards or automated checks) that other people used. Be ready to walk us through one.
  • Python or SQL to analyze failure data and turn it into clear conclusions.
  • Able to travel up to 25%.

Preferred

  • Robotics, industrial automation or hardware startup experience.
  • Hands-on electrical debug on motor drives, power and communication faults.
  • Failure analysis on robot arms, servo motors or gearboxes.
  • Reliability engineering: life testing, HALT/HASS, Weibull and MTBF analysis.
  • MES and serial-number traceability systems.
  • ASQ CQE or CRE certification.

Why Join

  • Build the function. You're our first quality and reliability hire. You set the standard, choose the tools and shape the team that grows around you.
  • Real authority from day one. You report to the Head of Manufacturing and can hold any robot that doesn't meet the bar. Your call sticks.
  • Hard, real failures. Robot arms, drive systems, sensors and power electronics running full shifts at customer sites. Every root cause you close shows up in the field.
  • AI is how we work. You'll have the tools and the backing to automate the quality work most companies still do by hand.
  • Scale with us. Go from a new production line to 1,000+ robots in the field by 2028, with quality built in from the start.

How We Work: Our Values in This Role

    We hire against our values, and we'll interview you against them too. Here's what they look like in this seat:

  • Love of the Game. A teardown that proves a root cause is satisfying to you, and you want the data to be airtight.
  • Gumption. You don't wait for a failure to be assigned. You spot the trend, open the investigation and chase the supplier until it's closed.
  • Beginner's Mindset. You question every "known issue" and every test we've always run. If the data says we're wrong, we change.
  • Belief in Each Other. You hold engineers, techs and suppliers to a high bar, and you share the facts even when they're uncomfortable.
  • Keep Moving Forward. You contain fast, ship what's good and keep digging on what isn't. Perfect analysis never stalls the line.
  • Customer Obsession. A defect that escapes is a robot down at a customer site. You hold the line so they don't have to.

Why Tutor?

Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable.

Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in.

Benefits

We take care of our team so they can do their best work. At Tutor, you’ll get:

  • Fully employer-covered health insurance, so you’re protected without the premium.
  • A managed 401(k) to help you plan for the future.
  • Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees.
  • Regular in-office meals and team social events throughout the year.

As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond.

Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.

Skills Required

  • Bachelor's degree in Electrical, Mechanical, Computer, or Mechatronics Engineering
  • Typically 3–6 years of experience in test, reliability, quality, or production engineering for electromechanical hardware
  • Hands-on debugging with oscilloscopes, meters, and diagnostic tools across power systems, PCBAs, motors, sensors, and communication interfaces
  • Experience writing test procedures, defining pass/fail criteria, and building test fixtures or automated tests
  • Experience with failure analysis and root-cause methods, including 8D, 5 Whys, fishbone, and FMEA
  • Ability to analyze failure data, identify trends, and make recommendations
  • Daily hands-on use of AI tools such as Claude in engineering work
  • Willingness to work hands-on on the production floor and build new processes
  • Robotics, industrial automation, or startup experience
  • Python experience for test automation and data analysis
  • Reliability engineering experience, including life testing, HALT/HASS, or MTBF analysis
  • RMA, MRB, or supplier corrective action (SCAR) experience
  • MES and traceability systems experience
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The Company
HQ: Boston, MA
22 Employees

What We Do

Tutor Intelligence is a full-service robotics and automation provider built to serve contract packagers. We partner with the world's largest 3PLs to automate what has stumped the industry for decades: short-run packaging and post-packaging where SKUs, patterns, orders, and volumes are constantly changing

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