Senior Quantum Systems Engineer – Quantum Computing

Senior Quantum Systems Engineer – Quantum Computing

Company: NVIDIA Location: United Kingdom Contract: Permanent

NVIDIA is at the forefront of quantum computing, and we are seeking a talented Senior Quantum Systems Engineer to join our rapidly growing Quantum Computing team. This is an exciting opportunity to contribute to accelerating the entire quantum computing ecosystem and work towards enabling fault-tolerant quantum computing.

If you are passionate about engineering complex systems for quantum computer control and thrive in a fast-paced, collaborative global environment, we encourage you to apply.

What You'll Be Doing:

• Collaborate with internal product, research, and engineering teams, as well as external partners, to define system requirements essential for fault-tolerant quantum computing.
• Develop innovative approaches for real-time quantum error correction and calibration, supported by rigorous systems analysis across various qubit modalities.
• Translate product requirements into detailed technical specifications for hardware, software, and firmware components.
• Create test cases that validate technical requirements and review test implementations for accuracy and thoroughness.
• Embrace and foster a culture of collaboration, rapid innovation, technical depth, and creative problem-solving.

What We Need to See:

• A Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or a related engineering field, or equivalent practical experience. Higher degrees are also welcome.
• A minimum of 5 years of overall post-bachelor’s experience, including demonstrated responsibility for engineering across multiple facets of complex hardware and software systems.
• Deep, hands-on experience working with real qubits and quantum control systems software.
• A strong passion for driving technological innovations into NVIDIA's software and hardware products to advance quantum computing.

Ways to Stand Out:

• Experience with the design of quantum control systems and techniques, including communication and networking aspects.
• Proven experience in the development of real-time systems and embedded software.
• Knowledge of methods for benchmarking quantum computers.
• Familiarity with the adoption of Artificial Intelligence (AI) and Machine Learning (ML) techniques.
• Experience with CUDA and NVIDIA GPUs.