The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists and engineers on a mission to develop a fault-tolerant quantum computer. We are looking to hire a Hardware Development Engineer with microfabrication experience in a cleanroom environment. The candidate should have process integration experience in the areas of superconducting devices, MEMS and or semiconductor solid state devices fabricated using thin film deposition, wet and dry etch processes, wet or vapor release, CMP with special focus on direct write and masked based photolithography. The candidate will work on developing and improving processes needed for superconducting circuit fabrication. The position is on-site at our lab, located in Pasadena, CA.
The ideal candidate will have had prior experience in superconducting, MEMS and or semiconductor device fabrication. We are looking for candidates with strong engineering principles, resourcefulness and data science experience. Organization and communication skills are essential. The role may call for working on second shift.
Key job responsibilities:
A day in the life: The role will be vital to the fabrication team. Photolithography and related process such as incoming thin films, downstream etch etc is critical to the successful performance of critical components and sub-components for superconducting circuits. The candidate will work with scientists and engineers in developing new processes as well as improve existing processes supported by photolithography processing. The candidate will improve monitors already in place and develop new ones, as necessary, to enable microfabrication of superconducting qubit process flows. This position may require second shift and occasional weekend work.
About the team: Our team is comprised of scientists and engineers who are building hardware that enables quantum computing technologies. Doing that requires the fabrication of quantum devices, which necessitates staying close to the details and analyzing data while building tools to better understand the data.