Quantum AI Hardware Engineer - High-Speed Circuitry

Google Inc.

Goleta (CA)

On-site

USD 159,000 - 230,000

Full time

9 days ago

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Job summary

Google Inc. in Goleta, CA, is seeking a mid-level hardware engineer to contribute to the development of quantum control and measurement systems. You will work with ASIC designers to architect solutions, document data, and support integration into larger quantum computing systems.

The role focuses on high-performance, board-level designs leveraging RF, analog, or mixed-signal techniques. Expect cross-team collaboration and delivery of scalable hardware for quantum computing deployments.

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 3 years of experience in analog, digital, or mixed-signal design.
  • 3 years of experience designing PCBs containing GHz-rate data converters, FPGAs, or processors.

Responsibilities

  • Support deployment and operations of electronics to Google's fleet of quantum computers.
  • Contribute to the design of control and measurement systems for next generation quantum computers, from architecture through implementation and deployment.
  • Drive board-level projects of high complexity to completion, collaborating with team of engineers.
  • Document work and share results with relevant stakeholders.

Skills

Analog design
Digital design
Mixed-signal design
PCB design
FPGA
GHz data converters
Processors

Education

Bachelor's degree in Electrical Engineering

Tools

SI/PI tools
RF tooling
Packaging tools

Job description

Google Inc. in Goleta, CA, is seeking a mid-level hardware engineer to contribute to the development of quantum control and measurement systems. You will work with ASIC designers to architect solutions, document data, and support integration into larger quantum computing systems.

The role focuses on high-performance, board-level designs leveraging RF, analog, or mixed-signal techniques. Expect cross-team collaboration and delivery of scalable hardware for quantum computing deployments.

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