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Quantum Device Design Engineer, Quantum AI Job Opening In Mountain View – Now Hiring Google


Job description

Quantum Device Design Engineer, Quantum AI

_corporate_fare_ Google _place_ Goleta, CA, USA; Mountain View, CA, USA

**Mid**

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

_info_outline_

XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Goleta, CA, USA; Mountain View, CA, USA** .

**Minimum qualifications:**

+ Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
+ Experience with Python or other programming languages.
+ Experience with git version control.

**Preferred qualifications:**

+ Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
+ Experience with Electromagnetic simulations and Finite Element Simulation tools (e.g. Sonnet, HFSS, Comsol).
+ Experience with IC fabrication techniques and processes.
+ Experience with Superconducting circuit architectures and quantum computing.

**About the job**

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products.

You'll contribute to the innovation behind products loved by millions worldwide.

Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a Quantum Integrated Circuit Designer, you will support the physical design of quantum processors and associated analog, DC, and RF devices and help to mainstream our interface infrastructures between design and other teams.

Our Quantum Processor designs are produced through an iterative process of working with custom programmatic CAD layout tools, graphical layout tools such as K-Layout and various Finite Element Simulation tools for physical device simulations.

You will work closely with other members of the team to produce test and prototype designs.

Your activities will span from laying out mask schematics, building CAD layouts through programmatic tools and workflows to integrating design metadata in various software tools and expanding on current design infrastructure and automation.

This role requires ability to work efficiently in an agile research environment, supporting the changing requirements of the fabrication, test, and packaging teams.

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 $126,000-$181,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .

**Responsibilities**

+ Support Quantum processor and related prototype design projects using the existing toolkit.
+ Support RandD layout projects within the larger team (including fab, packaging and others).
+ Work on standardizing and mainstreaming design-fab, design-test and other interfaces.

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.
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.


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