Quantum Research Scientist, Simulations

Job Description

Job Title: Quantum Research Scientist – High Performance Simulations. Location: Goleta, CA, USA

Responsibilities:

• Design and implement tensor network simulation algorithms (e.g., MPS, MERA, PEPS) for quantum many-body physics and quantum circuits.
• Conduct research to invent or adapt novel algorithms suitable for quantum simulations.
• Develop and execute high-performance simulations using multi-CPU and multi-GPU computing infrastructure.
• Collaborate on modeling and simulation of superconducting qubit systems.
• Partner with cross-functional research teams and contribute to academic publications and community engagement.

Qualifications:

• PhD in Quantum Physics, Quantum Computing, Computational Physics, or a closely related field.
• Hands-on experience with tensor network algorithms such as MPS, MERA, or PEPS.
• Proficiency in Python programming.
• At least one scientific publication in the field of tensor network simulations.

Preferred:

• Experience with high-performance computing (e.g., GPU-accelerated simulations, code optimization for HPC environments).
• Knowledge of quantum computing theory, information theory, and condensed matter theory.
• Background in developing or modifying advanced tensor network algorithms.

Compensation and Benefits:

• Base salary range: $141,000–$202,000 (dependent on level, location, and experience).
• Includes performance bonuses, equity packages, and comprehensive benefits.
• Learn more about Google benefits during the recruitment process.