Research Scientist, Quantum Error Correction, Quantum AI

Quantum Research Scientist, Quantum Error Correction

Driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

PhD degree in Quantum Computing domain, such as Math, Physics, Computer Science, Electrical Engineering, or equivalent practical experience. Research publication experience in quantum error correction.

Preferred qualifications:

1 year of experience owning and initiating research agendas.

As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes.

Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.