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Senior Quantum Systems Engineer - Quantum Computing

at NVIDIA

NVIDIA2 LocationsPosted 2026-06-03
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Job description

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team and work with internal and external teams to define system requirements to enable fault-tolerant quantum computing.Do you love engineering complex systems for controlling a quantum computer and working at the speed of light with collaborative people and teams all around the world? If yes, we would love to hear from you!What you'll be doing:Collaborate with internal product, research, and engineering teams and external partners to define system requirements to enable fault-tolerant quantum computingDevelop novel approaches to real-time quantum error correction and calibration supported by rigorous systems analysis for a variety of qubit modalitiesDistill product requirements to technical requirements across hardware, software, and firmwareDevelop test cases supporting technical requirements and review test implementations for correctness and completenessAdopt a culture of collaboration, rapid innovation, technical depth, and creative problem solvingWhat we need to see:Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience. Higher degrees also welcome.5+ overall years of post-bachelor’s experience including responsibility for engineering across multiple parts of a complex hardware and software systemDeep hands-on experience working with real qubits and quantum control systems softwarePassion to drive technology innovations into NVIDIA software and hardware products to support Quantum ComputingWays to stand out from the crowd:Experience with design of quantum control systems and techniques, including communication and networkingExperience with development of real-time systems and embedded softwareKnowledge of methods of benchmarking quantum computersAdoption of AI and ML techniquesExperience with CUDA and NVIDIA GPUs
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