Minimum qualifications:
Preferred qualifications:
About the job
As a Hardware Engineer, you will generate designs and layouts and perform simulations and analysis to implement filters that isolate our superconducting quantum processors from noise. This includes use of software tools such as HFSS, Sonnet, ADS, QUCS, WRspice, and their integration with python-based custom interfaces. You will work directly with research scientists and other hardware engineers to develop E&M, mechanical and multiphysics models to realize new filter designs, and to optimize existing designs to extend performance beyond their original specifications. This includes designs for cavity and transmission line based filters, lumped element filters, superconducting active filters, filters with frequency dependent loss, and non-reciprocal devices.
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 $122,000-$178,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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 .
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