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Lead Manufacturing Engineer – Robotics
Watertown, MA · On-site · Full-time · Maintenance & Manufacturing
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About the role
ManufacturingRoboticsPythonSQLTest AutomationLeadership
Watertown, MA (On-site) · Full-time
About Tutor Intelligence
We believe general-purpose, generally intelligent robots will be built in our lifetimes. We develop and deploy AI-powered robots that automate real-world operations, and we're scaling manufacturing across multiple robot platforms.
The Role
You'll be the technical lead for Manufacturing Engineering, Test Engineering, Quality and NPI across our robot platforms.
This is a hands-on technical leadership role, not a people-management role. You'll set technical direction, solve hard problems and guide engineers across disciplines. You'll be measured on the reliability, quality, efficiency and scalability of our manufacturing.
What You'll Own
Technical Leadership
Senior escalation point for complex manufacturing, electrical, mechanical and test issues
Work hands-on with engineers to diagnose failures and drive permanent fixes
Set technical standards and drive disciplined execution
Manufacturing Engineering
Process development, validation, tooling, fixtures and work instructions
Clear production blockers and eliminate recurring defects
Improve first-pass yield, cycle time, labor efficiency, throughput and cost
Test Engineering
Test strategy, automation and infrastructure, from component test and robot bring-up through end-of-line and FAT
Reliable test systems with clear acceptance criteria and traceable results
Catch defects upstream, before bring-up, final test or customer deployment
Quality & Reliability
Process controls, error-proofing and root-cause corrective action
Lead failure investigations and nonconforming material dispositions
Partner with Production, R&D and Fleet Reliability to prevent repeat defects
NPI & Engineering Changes
Drive DFX (manufacturability, assembly, test, serviceability) with R&D
Own release readiness, engineering change implementation and controlled production cut-ins
Transfer new products into stable, repeatable production
Systems & Scale
Manufacturing configuration, process control and product genealogy in MES/PLM (ION, Atlas)
Use data, automation and AI to boost engineering productivity
Build the processes, test capability and infrastructure for rising volume
What Success Looks Like
Robots pass bring-up and FAT with minimal rework
Fewer manufacturing defects, out-of-box failures and repeat issues
Higher first-pass yield and throughput; lower cycle time and labor
Test systems deliver reliable coverage, actionable diagnostics and full traceability
Engineering changes reach Production without disruption
New products reach repeatable production on schedule
Engineers show strong ownership and execution discipline
What You Bring
Required
BS in Mechanical, Electrical, Computer or Manufacturing Engineering (or equivalent experience)
Deep hands-on experience building and debugging complex electromechanical systems
Proven technical leadership across mechanical, electrical, systems integration and test
Built manufacturing processes, tooling, automated test systems and validation methods
Track record improving quality, first-pass yield, reliability and throughput
Taken hardware from development into scalable production
Sound engineering judgment and structured problem-solving under pressure
Able to mentor and lead engineers without direct authority
Nice to Have
Robotics, industrial automation or similarly complex hardware
Test software, Python, SQL or test automation
MES/PLM implementation and engineering change control
Scaling manufacturing at a startup or fast-growing hardware company
Using AI and automation to improve engineering workflows