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
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
