IC Layout Automation Software Engineer

Rigetti Computing is a Berkeley, California-based developer of quantum integrated circuits used for quantum computers.

Location: Fremont, CA
Company size: 137–137
Posted: 4w ago
Via: Lever

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IC Layout Automation Software Engineer - Rigetti

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Job Title: IC Layout Automation Software Engineer
Job Location: Fremont, CA
Job Listing URL: https://jobs.lever.co/rigetti/515ec1e2-bbdc-4488-b062-32f6f124c239
Job Description: 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.

Key Responsibilities

Software Development & Architecture

Design, develop, and maintain production-quality software systems for IC layout generation and design workflows

Refactor and improve existing codebases to increase maintainability, usability, and performance

Build scalable and extensible software architectures that support evolving design and fabrication requirements

Ensure code quality through best practices in testing, documentation, and version control

IC Design & Layout Integration

Translate design and fabrication requirements into layout-ready implementations

Work with GDSII and IC layout formats to generate, manipulate, and validate layout data

Develop and maintain tooling that supports layout generation, verification, and iteration

Integrate software workflows with existing EDA tools and design environments

Cross-Functional Collaboration

Partner closely with design, fabrication, and research teams to understand requirements and deliver effective solutions

Collaborate with stakeholders to define workflows and improve how design requests are translated into implementation

Support users across multiple technical domains, improving usability and reducing friction in tooling

Contribute to prioritization discussions across competing stakeholder needs

Tooling & Workflow Improvement

Improve usability and accessibility of internal design tools to reduce errors and increase efficiency

Identify and address gaps in current workflows, proposing more robust and user-friendly solutions

Support the evolution of tooling from ad hoc usage toward more structured and scalable systems

Balance reactive work (stabilization, bug fixing) with proactive development of new capabilities

Qualifications

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.