Algorithm Implementation Experimentalist, Quantum AI

Minimum qualifications:

• PhD in Physics or Electrical Engineering, or equivalent practical experience.
• Experience in Python.
• Experience in Quantum Mechanics.
• Experience in Quantum Computing and Error Benchmarks.
  
  

Preferred qualifications:

• Experience with superconducting Qubits.
• Experience with theory of quantum simulation, error correction, and quantum processors.
• Experience with programming and numerical methods.
• Knowledge on practical computational costs.
  
  

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.

The Noisy Intermediate-Scale Quantum (NISQ) team is currently exploring the new generation hardware (100+ Qubits, coherence > 100us) for both BC and physics discoveries. Now significantly more proposals targeting discoveries are within our reach to explore, we can enter and lead the golden age of NISQ and lay out a foundation for transition to pre-fault tolerance.

In this role, you will pursue more proposals by intellectually contributing to NISQ experiments performed by hardware residents and external users, developing tools to enable more NISQ experiments for both internal and external users, and performing calibrations and running experiments as needed.

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 $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Help advise NISQ experiments performed by hardware residents and external users.
• Develop tools to enable NISQ experiments for both internal and external users. Examples may include: developing novel gates, improving calibration and benchmarking tools, developing and improving error mitigation tools.
• Help calibrate grids for internal and external NISQ experiments.
• Work with the calibration team on improving automated re-calibration.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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.