Senior Research Scientist, Neutral Atoms Control Electronics, Quantum AI

Support the deployment of electronics to quantum computers.Drive ambiguous board-level projects of medium complexity from concept to production and deployment.Work with cross-functional team to evaluate control system requirements and develop board-level solutions to meet these requirements, collaborating with other board and system level designers and vendors as needed.Own board and system-level design of custom electronic systems for the control of neutral atom quantum processors.Minimum qualifications:Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or equivalent practical experience.3 years of experience in analog, digital, or mixed-signal design.3 years of experience designing printed circuit boards for analog or mixed-signal applications.Preferred qualifications:PhD degree in Electrical Engineering, or a related field.Experience designing and building electronic quantum control systems for neutral atoms or trapped ion quantum computers.Experience leading development projects from concept to deployment.Experience managing vendors.Expertise in AMS design principles, with extensive experience from cross-functional specification discovery to system deployment.Strong understanding of industry board-level design practices across relevant disciplines (AMS, RF, FPGA, etc), including relevant design tools.As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.In this role, you will be part of a team implementing quantum computers using neutral-atom-based quantum processors. You will work with cross-functional stakeholders to understand the electronic control requirements of neutral-atom quantum computers and use this knowledge to architect optimum control electronics that meet these requirements. For smaller projects, you will own the implementation cycle whereas for projects of larger complexity you will collaborate with colleagues within the quantum team’s electronics organization or with vendors to realize systems. You will lead the test and bring-up of developed electronics and support their use in experimental 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.The application window will be open until at least August 6, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or equivalent practical experience.3 years of experience in analog, digital, or mixed-signal design.3 years of experience designing printed circuit boards for analog or mixed-signal applications.