Numerical Simulation Research Scientist, Quantum AI

Minimum qualifications:

• PhD degree in Physics, Math, a related field, or equivalent practical experience.
  
• 2 years of experience leading a research agenda.
  
• Research experience in numerical studies of many-body physics or quantum algorithms.
  
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
  

Preferred qualifications:

• PhD in computational physics.
  
• 2 years of experience with Python or C++.
  
• 1 year of experience leading research efforts and influencing other researchers.
  
• Experience with tensor networks simulation.
  

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.

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.

In this role, you 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 with fractionalized excitations.

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 $161,000-$239,000 + 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

• Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. 
  
• Author research papers to share and generate impact of research results across function 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. 
  
• Perform complexity analysis of quantum algorithms using known numerical algorithms. 
  
• Research and develop approximate classical simulation methods for different quantum algorithms to reduce their simulation cost.
  
• Collaborate closely with experimentalists and support simulation needs of flagship algorithm experiments.