Engineer Superconducting Jobs (NOW HIRING)

Rigetti Computing is developing superconducting quantum computers to solve some of humanity's most challenging computational problems. We are a highly interdisciplinary team of scientists and engineers working at the forefront of quantum computing, materials science, and semiconductor fabrication. We value collaboration, curiosity, and technical excellence, and believe that diverse backgrounds and perspectives drive innovation.

As a Senior Process Engineer – Physical Vapor Deposition (PVD), you will own the process health and performance of one or more production deposition modules used to fabricate superconducting quantum processors — developing, optimizing, and qualifying thin-film deposition processes, and using data to drive continuous improvement. As you grow in the role, you will take on increasing scope in setting technical direction for your process area, mentoring other engineers, and representing process engineering in cross-functional decisions.

You will work closely with equipment, facilities, process integration, materials, design, and quantum engineering teams to solve complex technical problems and support the continued scaling of Rigetti's quantum hardware platform. This role offers the opportunity to contribute to both day-to-day manufacturing and, with growing scope, the technical direction of next-generation superconducting fabrication processes.

The ideal candidate has significant hands-on experience owning PVD processes in a production or scaled R&D fab. Experience leading a process or equipment qualification end-to-end, or mentoring other engineers, is a strong plus but not required — candidates who are ready to grow into that scope are encouraged to apply. They are technically curious, comfortable operating with real autonomy, and excited to shape both day-to-day manufacturing and the development of next-generation superconducting technologies.

Core Responsibilities:

• Own the process health and performance of assigned PVD modules through SPC, process monitoring, and data analysis.

• Develop, optimize, and qualify thin-film deposition processes for superconducting resonators, signal wiring, and interconnect structures — including qualification of new equipment, materials, and process technologies.

• Analyze process, metrology, and electrical characterization data to improve reproducibility and device performance.

• Lead root-cause investigations and implement corrective and preventive actions for process, equipment, and materials-related issues, including those requiring cross-functional coordination.

• Partner with facilities and equipment engineering to coordinate preventive maintenance, support equipment recovery, and lead process qualification following maintenance or repairs.

• Document process development activities, author and maintain standard operating procedures, and train process technicians on new processes and equipment operation.

• Contribute to and, with increasing scope, help set the technical roadmap for your process area — equipment strategy, capability investments, and long-term scalability.

• Mentor and technically review the work of process engineers or technicians as opportunities arise.

• Represent process engineering in cross-functional design and technical reviews, helping drive trade-off decisions across materials, process integration, design, and quantum engineering.

• Experience leading the end-to-end qualification of a new process, tool, or material into production or scaled R&D use.

• Experience mentoring other engineers or technicians, or setting technical direction within a process area.

• Experience owning a process module through multiple technology generations or major equipment transitions.

• Track record of publications, patents, or documented internal process-capability improvements.

• Experience with superconducting thin films or device fabrication.

• Experience developing thin-film processes for semiconductor, superconducting, or quantum technologies.

• Hands-on experience with thin-film characterization techniques such as ellipsometry, AFM, SEM, XRR, XRD, or related methods.

• Experience analyzing engineering data using statistical methods and tools such as JMP, Python, MATLAB, or similar software.

• Exposure to quantum computing, cryogenic measurements, or superconducting device technologies.
  
• Experience working in a startup or R&D-focused engineering environment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.