Senior Quantum Systems Engineer – Quantum Computing

Remote from: UK
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Software Engineering
Employment type: Full Time,
Job posted: 3 Jun 2026
Apply before: 3 Jul 2026
Experience level: Senior
Views / Applies: 20 / 6

About company

About NVIDIA

NVIDIA is a leader in AI computing and graphics technology.

Computer Hardware
1993

Actively Hiring

AI Summary

NVIDIA is seeking a Senior Quantum Systems Engineer to join their rapidly growing Quantum Computing team. The role involves defining system requirements for fault-tolerant quantum computing, developing novel approaches to quantum error correction, and collaborating with internal and external teams. Candidates need a bachelor's degree in a related field and 5+ years of experience with complex hardware and software systems. Deep hands-on experience with real qubits and quantum control systems is essential. This position offers an opportunity to drive technology innovations in quantum computing.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight This role requires a rare combination of deep expertise in quantum mechanics, systems engineering, and real-time software, making it extremely challenging to fill. The job demands hands-on qubit experience and ability to define complex system requirements.

Salary Analysis

AI Insight The salary range for this role is not specified, but based on market data for senior quantum systems engineers at top tech companies, the median salary is estimated at $200,000. This is competitive for the specialized skill set required.

Key Skills

Quantum Computing Systems Engineering Qubits Quantum Error Correction Real-time Systems Firmware Hardware-Software Integration CUDA NVIDIA Machine Learning

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my enthusiasm for the Senior Quantum Systems Engineer position at NVIDIA. With a strong background in quantum control systems and a passion for advancing fault-tolerant quantum computing, I am excited to contribute to your team.

In my previous role, I led the development of real-time error correction algorithms and collaborated with cross-functional teams to integrate quantum hardware with software systems. My hands-on experience with multiple qubit modalities and familiarity with CUDA align perfectly with the requirements.

I am particularly drawn to NVIDIA's commitment to accelerating the quantum ecosystem and would be honored to bring my expertise in systems engineering and quantum benchmarking to your innovative projects. Thank you for considering my application.

Sincerely, [Your Name]

Possible Interview Questions

Explain your experience with real qubits and quantum control systems. What challenges did you face?

I have worked with superconducting qubits, implementing control pulses and readout. One challenge was minimizing crosstalk between qubits, which required careful calibration and timing synchronization.

How do you approach defining system requirements for fault-tolerant quantum computing?

I start by understanding the error correction codes and qubit characteristics, then derive requirements for control fidelity, latency, and scalability. I collaborate with hardware and software teams to translate these into technical specs.

Describe a time you had to integrate hardware, software, and firmware for a complex system.

At my previous job, I worked on a hybrid quantum-classical system where we needed real-time feedback. I designed the firmware interface for the FPGA-based controller and ensured software could handle fast data acquisition.

How would you benchmark a quantum computer's performance?

I would use randomized benchmarking and gate set tomography to measure gate fidelities, and also run application-level benchmarks like quantum volume to assess overall performance.

Why do you want to work at NVIDIA specifically for quantum computing?

NVIDIA's GPU accelerators are already critical for classical simulation of quantum circuits, and I believe the company's hardware expertise can drive practical quantum computing. I want to contribute to that vision.

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

Apply now >