Scientist, Numerical Modeling, Quantum AI

Job Description

Job Title: Research Scientist, Numerical Modeling, Quantum AI. Location: Goleta, CA, USA; San Francisco, CA, USA

Responsibilities:

• Develop, apply, and scale noise learning and Quantum Characterization, Verification, and Validation (QCVV) methods to build predictive models of coherent and incoherent errors in superconducting qubits.
• Leverage high-performance computing resources to run simulations and perform numerical optimization in support of noise learning.
• Guide or directly contribute to software packages that support simulation, error analysis, and modeling efforts;
• Collaborate with experimental teams to support device characterization and error mitigation, including designing calibration experiments and analyzing experimental data.
• Extend noise learning techniques to Quantum Error Correction (QEC) experimental contexts and integrate inferred error metrics into logical error budgets.
• Contribute to the development and validation of theoretical and numerical models for superconducting qubit-based processors.

Qualifications:

• PhD in Quantum Information, Physics, Electrical Engineering, or a related field.
• Experience in theoretical quantum physics;
• One or more scientific publications in conferences, journals, or public repositories (e.g., Physical Review, AAAS, Nature, npj).

Preferred:

• At least 2 years of coding experience.
• Experience in numerical physics and scientific/high-performance computing.
• Familiarity with quantum error correction methods.

Benefits and Compensation:

• Base salary range: $147,000–$211,000, depending on role, level, and location.
• Additional compensation: bonus, equity, and comprehensive benefits;
• Full-time benefits include healthcare coverage, retirement plans, parental leave, and wellness programs.
• Opportunities to collaborate with a global team of researchers and engineers in cutting-edge quantum computing.

Other Information:

• Google encourages applications from all qualified candidates and considers fair chance hiring policies where applicable.
• The position allows candidates to select a preferred working location between Goleta, CA, and San Francisco, CA;
• The role contributes directly to Google Quantum AI’s mission to build large-scale, error-corrected quantum computers capable of solving classically intractable problems.