Minimum qualifications:
- PhD degree in Physics, Math, a related field, or equivalent practical experience.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Experience with quantum computing.
- Experience with simulations of quantum systems.
- Experience in many-body physics.
- 2 years of coding experience.
- 1 year of experience owning and initiating research agendas.
- Experience with high-performance computing, including GPU (e.g., cupy, cuTensor, CUDA kernels, tensorcores), low-level CPU optimizations (e.g., simd, dynamical dispatching), Simple Linux Utility for Resource Management (SLURM).
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About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
This role will be focused on the design and implementation of numerical simulation algorithms for NISQ and early fault tolerant experiments on quantum hardware, that include the physics of quantum chaos, phase transitions, integrability breaking, and topological states fractionalized excitations this can predict and verify the output of quantum hardware and set benchmark of complexity, spoofing methods, and approximate algorithms physical structure of the system. Design of such algorithms requires understanding of many-body physics to exploit low entanglement, mean field and perturbative approaches and computational methods. Implementation of such algorithms requires use of memory and computational protocols for caching of intermediate results.
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.
The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Author research papers to share and generate impact of research results across the team and in the research community.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance. Contribute to conducting experiments. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
- Design exact classical algorithms to simulate large-scale quantum circuits at arbitrary energy density (i.e., state-vector simulations and tensor-network contractions).
- Develop efficient classical simulation code.
- Work closely with hardware engineers implementing and benchmarking physics experiments.