Senior / Principal Process Design Kit (PDK) Engineer

Responsibilities

• Own the model-to-measurement characterization loop for cryogenic process primitives, including test definition, measurement planning, data analysis, parameter extraction, and model update workflows.
• Develop, maintain, and refine cryogenic PDK requirements for superconducting circuit technologies, with emphasis on accurate low-temperature device models, parameter extraction, and design-rule coverage.
• Partner with external foundries and internal teams to extend foundry PDKs from room-temperature or nominal process assumptions to cryogenic operating regimes relevant to quantum hardware.
• Plan, design, and analyze cryogenic characterization test chips for key primitives.
• Partner with foundry, device, packaging, and quantum-hardware design teams to connect fabrication process capability, measured cryogenic performance, and scalable circuit-design requirements.
• Establish robust characterization infrastructure, including design-of-experiments methods, test structures, data pipelines, statistical summaries, and documentation that enable repeatable PDK updates.
• Use industry-standard electronic-design-automation, layout, and physical-verification toolsets to support superconducting circuit design, test-chip development, and PDK validation.
• Embody our Culture and Values.

Qualifications

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 6+ years technical engineering experience.
• Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 4+ years technical engineering experience.
• Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position.
• Equivalent experience.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Ability to leverage artificial intelligence (AI) tools to drive innovation and efficiency (e.g., measurement, performance modeling and analysis, research gathering, day-to-day task automation).
• Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through hardware development.