nvidia
Quantum computing is a strategic priority for [NVIDIA](https://himalayas.app/companies/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 computing Develop novel approaches to real-time quantum error correction and calibration supported by rigorous systems analysis for a variety of qubit modalities Distill product requirements to technical requirements across hardware, software, and firmware Develop test cases supporting technical requirements and review test implementations for correctness and completeness Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving ### What 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 system Deep hands-on experience working with real qubits and quantum control systems software Passion to drive technology innovations into [NVIDIA](https://himalayas.app/companies/nvidia) software and hardware products to support Quantum Computing ### Ways to stand out from the crowd: Experience with design of quantum control systems and techniques, including communication and networking Experience with development of real-time systems and embedded software Knowledge of methods of benchmarking quantum computers ### Adoption of AI and ML techniques ### Experience with CUDA and [NVIDIA](https://himalayas.app/companies/nvidia) GPUs Originally posted on [Himalayas](https://himalayas.app)