Principal Equipment Engineer

Diamond Foundry Inc. is solving the thermal limitation at the foundation of today's most exciting tech industries -- AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce the world's first single-crystal diamond wafers and are now on a mission to put a diamond behind every chip. We are the rare unicorn that has grown fast and profitably. We received $515m in funding and are executing a multi-$B expansion plan for one of the greenest forms of tech manufacturing: converting greenhouse gas into diamond wafers using zero-emission energy.

Responsibilities

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End-to-End Tool Ownership: Manage an assigned section of back-end process tools (laser, cleaning, thermal, metrology, and material handling) to optimize tool availability, capability, and total cost of ownership.

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Advanced Troubleshooting: Serve as the final escalation point for complex electro-mechanical failures, using structured root-cause methods (8D, 5-Why) to improve MTBF and MTTR metrics under SEMI E10 standards.

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CapEx & Site Transfers: Author equipment specifications, evaluate vendors, execute FAT/SAT, and manage the technical documentation required to package and transfer equipment setups to international sites.

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Engineering & Safety Standards: Establish robust standards for PM plans, CMMS assets, ECNs, and ISO 9001 compliance. Enforce rigorous engineering controls for Class IV lasers, chemical hazards, and high-temperature systems.

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Mentorship & Support: Act as a technical resource for maintenance technicians and mentor junior equipment engineers through design reviews, troubleshooting sessions, and technical documentation audits.

Requirements

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Education & Experience: Bachelor’s degree in Mechanical, Mechatronics, Electrical, or Manufacturing Engineering with 10+ years of hands-on equipment ownership in a high-volume semiconductor, advanced materials, or high-precision manufacturing environment.

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Technical Depth: Mastery of electro-mechanical systems (motion control, PLC/HMI, pneumatics, vacuum, fluid delivery). Strong preference for experience with Class IV lasers, CMP/polishing, or robotic work cells.

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Data-Driven Analysis: Track record of moving OEE, MTBF, and MTTR metrics with evidence rather than opinion. Experience with data analysis tools beyond spreadsheets (Python, JMP, SQL) is a plus.

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Safety & Compliance: Practical experience applying machine safety codes (LOTO, NFPA 79, CE/UL, SEMI S2). Proficiency with 3D CAD (SolidWorks), PLM (Teamcenter), and CMMS frameworks.

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Autonomy & Leadership: Proven history of operating independently as a principal contributor, managing competing priorities without close supervision, and aligning cross-functional teams without direct positional authority.