Software Engineer, Processor Design Infrastructure, Quantum AI

Google•Goleta, CA

2d•$147,000 - $210,000

About The Position

Google Quantum AI designs and fabricates superconducting quantum processors. The chip development process includes circuit layout, electromagnetic and circuit simulations, design-rule verification, and foundry tapeout preparation. The role owns the software infrastructure supporting this workflow, partnering closely with quantum processor designers in Santa Barbara. It balances immediate workflow improvements with longer-term infrastructure projects so hardware and physics experts can focus on processor design. The broader mission of Google Quantum AI is to build a large-scale quantum computer capable of complex, error-corrected computations and to enable solutions to problems that are intractable for classical computers.

Requirements

Bachelor's degree in Computer Science, Electrical Engineering, Physics, a related technical field, or equivalent practical experience.
2 years of software development experience in Python, C++, Go, or Rust, including experience with Python; alternatively, 1 year of experience with an advanced degree.
2 years of experience building CI/CD pipelines, build systems, or developer infrastructure.
Experience with Linux, Git version control, and automated testing.

Nice To Haves

Master's degree or PhD in Computer Science, Electrical Engineering, Physics, or a related technical field.
Experience with cloud workflow orchestration or containerized compute workloads, such as Argo Workflows, Kubernetes, or Docker, and HPC job scheduling.
Experience with electronic design automation (EDA) or IC layout tools, such as KLayout or GDSII; physical verification (DRC/LVS); or electromagnetic simulation.
Experience building engineering or scientific data pipelines, relational databases, or artifact stores.
Experience partnering directly with hardware engineers, device designers, or physicists to build internal developer tools and automation.

Responsibilities

Own and evolve the backend of the quantum chip design repository, including CI/CD pipelines, cloud simulation job orchestration, and layout tool integrations.
Design and deliver infrastructure projects that shorten the processor design cycle, including CI acceleration, parallel simulation orchestration, and automated tapeout workflows.
Improve design reproducibility and end-to-end traceability by versioning design libraries and building artifact storage and data pipelines connecting design, fabrication, and test.
Serve as the primary software engineering partner for quantum chip designers, diagnosing workflow bottlenecks and shipping reliable tooling improvements.
Partner with device physicists and hardware engineering leads to scope infrastructure roadmaps, define system interfaces, and establish software quality standards.