Über diese Senior Quantum Systems Engineer - Quantum Computing Stelle bei NVIDIA
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 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 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 GPUs
