IC Layout Automation Software Engineer

About the role

Rigetti is seeking an IC Layout Automation Software Engineer to develop and maintain software systems that support the design and fabrication of superconducting quantum circuits. This role sits at the intersection of software engineering, IC layout, and semiconductor fabrication, enabling the translation of device and process requirements into manufacturable layouts. You will work closely with cross-functional teams across design, fabrication, and research to build and evolve tools that are critical to how quantum devices are designed and produced. This is a highly interdisciplinary role that requires strong software fundamentals alongside familiarity with IC design workflows and fabrication processes. You will play a key role in improving the reliability, usability, and scalability of layout generation and design tooling used in a cutting-edge R&D environment and over time, in shaping what that tooling becomes. As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged. About Rigetti Rigetti Computing is a pioneer in full-stack quantum computing. The company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The company's proprietary quantum-classical infrastructure provides ultra-low latency integration with public and private clouds for high-performance practical quantum computing. Rigetti has developed the industry's first multi-chip quantum processor for scalable quantum computing systems. The company designs and manufactures its chips in-house at Fab-1, the industry's first dedicated and integrated quantum device manufacturing facility. Rigetti was founded in 2013 and today employs more than 150 people with offices in the United States, U.K., and Australia. Learn more at www.rigetti.com. Don't see the job you want? Apply here so we can keep in touch with you when the right role opens up in the future! Export Licensing Compliance Rigetti is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

• B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, Physics, Applied Physics, Materials Science, or a related technical field.
• Strong proficiency in Python, with experience developing and maintaining production-quality software in a real-world engineering or technical environment.
• Proven ability to own and improve complex, long-lived codebases, including refactoring, architecture decisions, testing, documentation, and maintainability.
• Experience working with IC layout data and formats, including GDSII.
• Familiarity with EDA / IC layout tooling such as KLayout, gdspy, Cadence, or similar platforms.
• Strong communication skills, with the ability to operate across teams that use different technical language and workflows.
• Working knowledge of semiconductor fabrication workflows, with exposure to lithography processes.
• Familiarity with lithography required; experience with e-beam lithography a strong plus.
• Ability to translate design, fabrication, or process requirements into reliable software implementations.
• Demonstrated ability to work cross-functionally with stakeholders across software, hardware, design, fabrication, and research teams.
• Ability to manage ambiguity, prioritize competing requests, and bring structure to evolving technical systems.
• Comfortable working closely with cleanroom, fab, or lab-based teams in an R&D environment.

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