Google
Goleta or Mountain View

Device Layout and Simulation Engineer, Quantum AI

Onsite$132,000 - $189,000/yrPosted 4 days ago

We tailor your resume to this role and apply for you in seconds.

Apply to Device Layout and Simulation Engineer, Quantum AI at Google

Job details

Location
Goleta or Mountain View
Work type
Onsite
Compensation
$132,000 - $189,000/yr
Posted
4 days ago
Apply on
careers.google.com

About this role

Note: 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, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 3 years of experience with Python or other programming languages and git version control.
  • 3 years of experience with Electromagnetic simulations and Finite Element Simulation tools (Ansys HFSS, Comsol, etc).

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Experience with custom programmatic CAD layout and verification tools.
  • Knowledge of FEM macro development techniques, caching and massive parallelization.
  • Familiarity with Superconducting circuit architectures and quantum computing.
  • Familiarity with IC fabrication techniques and processes.

About the job

As a Quantum Device Layout and Simulation Engineer, you will support the layout and simulations backend and frontend infrastructures and custom toolkits of quantum processors and associated analog, Direct Current (DC), and Radio Frequency (RF) devices. 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 our team to develop, maintain and streamline layout, simulation and verification end to end infrastructure to be used by a large number of designers across the QAI. In addition, you will work on longer term projects for streamlining non-standard devices and packaging simulation workflows. This role requires the ability to work efficiently in an agile research environment, supporting the changing requirements of device design and modeling.

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.

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

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Build, maintain and mainstream Quantum Processor and associated device layout and simulations infrastructure to improve device production cycle.
  • Maintain and expand on design documentation for layout, simulation and integrations into other teams.
  • Work with designers across many teams to seamlessly complete the release and landing of various layout and simulation software upgrades.
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.
Ready to apply to Google?
We tailor your resume to this role and apply for you.

About Google

Google
Goleta or Mountain View