Research Scientist, Pathfinding Component Development

1 Month ago • All levels • Research & Development • $141,000 PA - $202,000 PA

Job Summary

Job Description

As a Research Scientist, Pathfinding Component Development, you'll optimize qubit design, develop qubit architectures with faster operations, layout large 2D qubit arrays, perform electromagnetic simulations, and interface with fabrication and measurement teams. You'll contribute to the wider research community by sharing findings and collaborating with external partners. The role involves setting up large-scale tests, deploying ideas, managing deadlines, and applying theories to develop new products or technologies. Work spans computer science areas like machine learning, data mining, and hardware/software performance analysis.
Must have:
  • PhD in Physics, EE, CS or equiv.
  • Experience with quantum systems
  • Qubit design optimization
  • Electromagnetic simulation
  • Collaboration with teams
Good to have:
  • Superconducting circuits experience
  • Qubit, coupler, readout & reset circuit experience
  • Theoretical modeling of quantum circuits
  • RF/Microwave engineering experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • PhD degree in Physics, Electrical Engineering, Computer Science, or equivalent practical experience
  • Experience with experimental operation of quantum systems

Preferred qualifications:

  • Experience with superconducting circuits
  • Experience with qubits, couplers, readout and reset circuits
  • Experience with theoretical modeling of quantum circuits
  • Experience with electromagnetic simulations
  • Experience with rf or microwave engineering

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 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 .

Responsibilities

  • Optimize qubit design to simultaneously improve coherence and reduce crosstalk.
  • Develop qubit architectures with faster gates, readout, and reset operations.
  • Layout large 2D arrays of qubits using programmatic techniques.
  • Electromagnetic simulation of circuit components.
  • Interface with fabrication and measurement teams.

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