Silicon Engineer, Digital Research, Quantum AI

GoogleGoleta, CA
$163,000 - $237,000

About The Position

In this role, you will help bridge the gap between advanced research and scalable production design to help our team move toward producing more highly scaled systems. You will develop next-generation, scalable control systems that incorporate cryogenic electronics. As a member of the quantum electronics team, you will contribute to the research and development of novel control and readout systems. You will work on a team of IC designers to develop next-generation, scalable, control electronics systems, and in-fridge electronics from prototyping to deployment. You will leverage your strong foundation in physics and devices to contribute to the development of cryogenic design tools, design, and physical implementation of digital systems. These designs may operate at temperatures ranging from 4K to 400K, and may necessitate the development of novel design methodologies. You will participate in the silicon bring up and the designing of test infrastructure and testing plans to validate the efficacy of the implemented ASICs. You will also work with other teammates as appropriate to test and deploy these systems.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 $163,000-$237,000 + 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 [https://careers.google.com/benefits/].

Requirements

  • Bachelor’s degree in Electrical Engineering, a related field or equivalent practical experience.
  • 5 years of industry design experience.
  • Experience in ASIC development (RTL to Physical Design) using Verilog or SystemVerilog.
  • Experience with physical synthesis, timing closure, and industry toolchains (e.g., Synopsys Design Compiler/PrimeTime or Cadence Genus/Innovus).
  • Experience in scripting for design automation using Python and Rust.

Nice To Haves

  • PhD in Electrical Engineering or a related field.
  • 5 years of Individual Contributor (IC) design experience in bringing industrial design discipline and production-level accuracy to a research or prototyping environment.
  • Experience integrating third-party IP (e.g., microprocessors or high-speed input/output) into custom digital design flows.
  • Experience with Field Programmable Gate Array (FPGA) development.
  • Experience in analog design principles or device physics.
  • Knowledge of standard cell modeling and custom library development with excellent written and verbal communication skills to coordinate cross-functional team activity.

Responsibilities

  • Own the full implementation of digital systems, spanning front-end RTL development and back-end physical design (privacy and regulatory).
  • Participate in the development of architectural requirements and technical specifications of digital sub-systems for both room temperature and cryogenic operation.
  • Transition manual design processes into automated, industrial toolchains to support the goal of one million control channels.
  • Develop documentation, solicit feedback on designs via design reviews at each critical phase of development, and describe results to the quantum team and, potentially, the greater research community.
  • Support the development of cryogenic digital design models and deployment of technologies developed by the designer that are used throughout the organization.
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