Research Scientist, Quantum Error Correction, Quantum AI

Google Quantum AI is at the forefront of quantum computing research, working to build a large-scale computer capable of complex, error-corrected computations. As a Research Scientist in Quantum Error Correction, you'll join a dynamic team focused on advancing quantum computing capabilities and enabling meaningful applications.

The role combines theoretical research with practical implementation, where you'll work on inventing new protocols and improving existing ones for quantum error correction. You'll be part of the Quantum Error Correction Theory team, which studies the design and implementation of error correction schemes, including logical gates and decoding algorithms. The position offers unique opportunities to collaborate with experimentalists working on superconducting qubits and other qubit hardware.

Your responsibilities will span from conducting theoretical research and developing simulation software to analyzing experimental data and presenting findings. You'll work closely with software engineers to develop and maintain supporting software, and collaborate with other research scientists and hardware engineers in designing and implementing error correction experiments.

The position requires a PhD in a relevant field and demonstrated research experience in quantum computing or error correction. You'll need strong programming skills and a track record of scientific publications. The ideal candidate will have specialized experience in quantum error correction, particularly with surface codes and LDPC codes.

Google offers a competitive compensation package, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. You'll be part of a company committed to building a diverse and inclusive workforce, working on cutting-edge technology that could revolutionize computing. The role provides an excellent opportunity to contribute to groundbreaking research while working with some of the brightest minds in quantum computing.