About the role
Production Ownership & Execution Own the full lot lifecycle from wafer-in to data-out: coordinate across fabrication, packaging, and cryogenic loading for measurement to ensure seamless handoffs and unbroken visibility at every stage Own the master production schedule and drive daily execution with a relentless focus on throughput and quality — managing expedites, resolving blockers, and keeping stakeholders informed on status, risks, and recovery plans. Process & Technology Transfer into Production Bachelors or above in Engineering, Operations management or related discipline Significant experience in manufacturing, production operations, hardware development, supply chain, or related technical environments. Demonstrated experience leading complex cross-functional programs involving multiple engineering and operational stakeholders. Communication and stakeholder management skills — with a proven ability to drive alignment across multiple teams without direct authority. Comfortable operating in ambiguous, fast-evolving environments where you'll need to build systems and processes alongside the people using them Significant experience in semiconductor manufacturing, fabrication operations, hardware production, or other complex technical manufacturing environments, ideally including R&D, pilot-line, or pre-production settings where processes are still maturing Track record of managing end-to-end production flow across multiple process areas (e.g., fabrication, packaging, test) Experience in small-scale or pilot-line environments transitioning toward low-volume manufacturing — including navigating the tension between development and production priorities Analytical skills with experience using production data to drive decisions (yield analysis, cycle time tracking, statistical process control (SPC)) Experience defining and implementing stage-gate or manufacturing readiness review frameworks Experience working as production coordinator, process integration, product management or similar Experience managing or leading a team of engineers or technicians in a manufacturing environment Experience working across multiple countries and time zones with distributed engineering teams Technical fluency in quantum computing, photonics, semiconductor physics, or related deep-tech domains — sufficient to engage credibly with scientists and engineers (PhD not required) Experience with MES (Manufacturing Execution Systems), ERP, or fab scheduling tools Experience in statistical analysis processes and software. Demonstrated experience in production scheduling, Work-in-progress (WIP) management, and capacity planning in a fab or cleanroom setting Experience building or leading new process introduction (NPI) / tech transfer processes — transitioning R&D outputs into repeatable production These
