Senior Research Scientist, QEC Physics Design, Quantum AI

Senior Research Scientist, QEC Physics Design, Quantum AI

Share Senior Research Scientist, QEC Physics Design, Quantum AI

corporate_fare Google place Goleta, CA, USA; Los Angeles, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Senior Research Scientist, QEC Physics Design, Quantum AI

info_outline

XThis role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Los Angeles, CA, USA .

Minimum qualifications:

• PhD in Physics, Quantum Information, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience.

• 2 years of post-doctoral research experience in academia or industry.

• Research experience in quantum error correction (e.g., fault-tolerant architectures, circuit-level noise simulation, or decoding) or physical noise and device modeling of quantum hardware.

• Experience developing numerical simulations and modular scientific software in Python.

Preferred qualifications:

• Experience with superconducting qubit physics, circuit QED, and physical error mechanisms (such as leakage, TLS defects, and coherent or incoherent crosstalk).

• Experience with QEC simulation and decoding tools (e.g., Stim, Clifford simulators, or custom fault-tolerance frameworks).

• Experience architecting and maintaining reusable simulation pipelines or scientific software libraries.

• Experience analyzing experimental data from multi-qubit or QEC devices to diagnose error mechanisms.

• Ability to collaborate across theory, hardware design, and experimental teams to translate physical modeling into hardware design decisions.

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 is building quantum computing for otherwise unsolvable problems. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Evaluate proposed processor architectures (including novel QEC codes, modular and multiplexed control schemes, and alternative superconducting qubit or gate designs) prior to fabrication to predict logical performance.

• Develop and adapt models of correlated physical error mechanisms, such as leakage and two-level system (TLS) defects, to build realistic logical error budgets beyond simplified noise models.

• Architect, build, and maintain modular end-to-end Python simulation pipelines that bridge electromagnetic and device-level physics models with processor noise models and circuit-level QEC simulations.

• Partner closely with processor design, device modeling, and QEC protocol teams to drive pre-fabrication design trade-offs and actionable hardware roadmap recommendations.

• Analyze experimental data from QEC and hardware testbed devices to validate simulation predictions and uncover unmodeled physical error mechanisms.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.