Error Correction Simulation Research Scientist, Quantum AI

Google Quantum AI is at the forefront of quantum computing research, working to build a useful, error-corrected quantum computer. As a Research Scientist in Quantum Error Correction and Simulations, you'll be part of the modeling team developing theoretical and numerical models for superconducting qubit-based processors. The role combines physical insight, metrology, and engineering to advance quantum computing capabilities.

You'll work on extending modeling capabilities for large-scale devices, understanding error-corrected device performance, and informing future hardware designs. The position involves close collaboration with experimentalists, development of error budgets, and improvement of simulation infrastructure. You'll contribute to both internal projects and external research through publications and collaborations with universities and technical institutes worldwide.

The team's work is crucial for Google Quantum AI's mission to unlock solutions to classically intractable problems. You'll be working with state-of-the-art quantum computing technology, developing and optimizing error correction techniques that are essential for achieving practical quantum computing.

The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. You'll be part of Google's inclusive culture that values diversity and equal opportunity. The position requires a strong background in quantum information, software engineering, and numerical modeling, making it ideal for someone passionate about advancing the field of quantum computing through both theoretical and practical contributions.

This is an opportunity to work on cutting-edge technology that could revolutionize computing, while being supported by Google's resources and collaborating with leading experts in the field. The role combines technical expertise with research freedom, allowing you to contribute to both practical advancements and academic knowledge in quantum computing.