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Tutor Intelligence is building general-purpose, intelligent robots that automate real-world operations. They are scaling manufacturing across multiple robot platforms and seeking a technical leader for Manufacturing Engineering, Test Engineering, Quality, and NPI.
This is a hands-on technical leadership role focused on setting technical direction, solving complex problems, and guiding engineers across disciplines—not a people-management position. You will be measured on the reliability, quality, efficiency, and scalability of manufacturing operations.
Key Responsibilities:
Technical Leadership: Serve as 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 across teams.
Manufacturing Engineering: Develop and validate manufacturing processes, tooling, fixtures, and work instructions. Clear production blockers, eliminate recurring defects, and improve first-pass yield, cycle time, labor efficiency, throughput, and cost.
Test Engineering: Define test strategy, automation, and infrastructure from component test and robot bring-up through end-of-line and FAT. Build reliable test systems with clear acceptance criteria and traceable results. Catch defects upstream before bring-up, final test, or customer deployment.
Quality & Reliability: Implement 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: Configure manufacturing systems, process control, and product genealogy in MES/PLM (ION, Atlas). Use data, automation, and AI to boost engineering productivity. Build processes, test capability, and infrastructure for rising volume.
Success is measured by robots passing bring-up and FAT with minimal rework, fewer manufacturing defects and out-of-box failures, higher first-pass yield and throughput, lower cycle time and labor costs, reliable test systems with actionable diagnostics, smooth engineering change implementation, on-schedule new product ramp, and strong engineer ownership and execution discipline.
Requirements:
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; demonstrated ability to build manufacturing processes, tooling, automated test systems, and validation methods; track record improving quality, first-pass yield, reliability, and throughput; experience taking hardware from development into scalable production; sound engineering judgment and structured problem-solving under pressure; ability to mentor and lead engineers without direct authority.
Nice to Have: Robotics or industrial automation experience; test software, Python, SQL, or test automation skills; MES/PLM implementation and engineering change control experience; scaling manufacturing at a startup or fast-growing hardware company; using AI and automation to improve engineering workflows.
