Cryogenic Systems Engineer, Quantum AI
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Minimum qualifications:
- Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering or equivalent practical experience.
- 3 years of experience with design, installation, operation, and maintenance of dilution refrigerators; while gathering requirements and creating system design specifications.
- 3 years of experience with prototyping, test development, and analysis of data from cryogenic systems.
- Experience managing projects involving multiple component and system vendors.
Preferred qualifications:
- 5 years of experience with design, installation, operation, and maintenance of dilution refrigerators.
- Experience managing joint development projects involving multiple vendors.
- Experience troubleshooting laboratory vacuum, gas handling, and electrical equipment.
- Experience in prototyping and develop tests for cryogenic components and systems.
- Experience with time series data and statistical analysis of experimental data.
- Experience with Linux, Python, and SQL.
About the job
As a Cryogenic Systems Engineer, you will be responsible for improving the operations and performance of Google Quantum AI’s quantum computing fleet. You will focus on the cryostat-related portions of our quantum computing technology stack. The scope includes development of scalable operations for a growing cryostat fleet as well as incremental and generational improvements to the reliability, flexibility, and capacity of cryostats that Quantum AI uses for both research and production applications over the next decade.In this role, you will improve the efficiency, reliability, usability, and deployability of both first article and research cryostats. You will have to promote the standardization of best practices and ensure consistent outcomes in the assembly of quantum computing systems. Additionally, you will harden cryostat fleet operations by identifying potential problems and using data-driven insights to enhance cryostat design. You will also strategize the testing of new components and subsystems for future cryostat designs. In partnership with Quantum AI scientists, engineers, and vendors, you will help to define, improve upon existing, and qualify new cryostat designs to advance the development of a large-scale, error-corrected quantum computer.
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 $147,000-$216,000 + 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.
Responsibilities
- Define operational processes that allow the growing cryostat fleet to be efficiently deployed and maintained.
- Manage test strategies for both prototype and production cryostat systems and components.
- Plan a monitoring system to collect telemetry from the entire fleet of research and production cryostats.
- Collaborate with Research and Development teams to define product requirements and specifications for new cryostat systems and components.
- Analyze data collected from the cryostat fleet to recommend both design and operational improvements.
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