Manufacturing Engineering Supervisor

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.

Diamond Foundry is seeking a Manufacturing Engineering Supervisor to own the handoff between Engineering and Production. This role takes processes, tooling, and work instructions developed by our engineering teams and converts them into stable, documented, repeatable manufacturing operations — then holds them there. The Manufacturing Engineering Supervisor leads a small team of engineering technicians, owns the SOP and traveler library for their process areas, and is accountable for yield tracking and the data that drives improvement.

This is a hands‑on leadership role for someone who is equally credible on the production floor and in an engineering review.

This position will work out of our Fremont location, and it'll be Monday-Friday.

• Process Ownership & Engineering Handoff: Serve as the receiving owner for new and revised processes, tooling, and workflows transferred from Engineering, qualifying each handoff against defined acceptance criteria — documentation complete, operators trained, tooling verified, run rate demonstrated — before accepting it into steady-state production. Act as the standing escalation point when a process misbehaves and it is not yet clear whether the issue is equipment, material, method, or execution.

• Team Leadership & Development: Supervise, schedule, and develop a team of engineering technicians. Set daily priorities against production demand, manage the technician qualification and cross‑training matrix, and build depth so that no process area depends on a single individual.

• Yield Tracking & Data Ownership: Own yield and scrap reporting for assigned process areas. Track yield by tool, lot, shift, and defect mode; identify statistically meaningful excursions; drive containment and corrective action; and report performance and trends to Operations and Engineering leadership on a defined cadence.

• Documentation & Change Control: Own the SOPs, work instructions, travelers, and process specifications for assigned areas. Author and revise documentation to Diamond Foundry's ISO 9001 standards, route changes through the approval matrix, control revision levels on the floor, and ensure training records stay current against the latest revision.

• Continuous Improvement & Safe Process Design: Lead structured improvement activity — cycle time reduction, scrap reduction, ergonomic and layout changes, 5S and Lean practices — using data rather than anecdote to select and validate projects. Ensure every new or modified process is reviewed for chemical, thermal, electrical, and mechanical hazards, and that EHS requirements are enforced within the team and on the floor.

• Technical Foundation: Bachelor's degree in Engineering (Mechanical, Industrial, Manufacturing, Materials, or related) with 3+ years of manufacturing experience,
  or an equivalent combination of technical training and 6+ years of progressively responsible manufacturing engineering / advanced technician experience. Semiconductor, advanced materials, cleanroom, vacuum, or high-temperature process experience strongly preferred.

• Leadership & Ownership: Demonstrated experience leading technicians or a small technical team, whether as a direct supervisor or as a technical lead. Proven track record of taking a process from unstable to controlled and keeping it there in a high-growth environment.

• Yield Analysis & Data Literacy: Practical command of yield analysis, defect Pareto, root cause methodology (5-Why, fishbone, 8D), and basic SPC, with the judgment to distinguish signal from noise in production data. Proficiency with…