Principal Quantum Systems Engineer - Applied Research Quantum Computing

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
232K-368K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the design and integration of quantum-classical systems, collaborate on technical requirements, and drive innovations for fault-tolerant quantum computing.
Summary Generated by Built In

At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Principal Quantum Systems Research Scientist for Quantum Computing Applied Research, you'll lead the systems engineering to design, develop, and test the integration of QPUs into a fault-tolerant Accelerated Quantum Supercomputer, and work with multi-functional teams in Product, Engineering and Applied Research.

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 partners across the industry. You’ll determine technical requirements of a complex hybrid quantum-classical system, engineer and integrate complex subsystems, and develop the design, analysis, and test for the system. 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:

  • Path-find technical innovations in quantum-classical systems design and integration, working with multi-functional teams in Product, Engineering, and Applied Research

  • Develop novel approaches to real-time calibration supported by rigorous systems analysis for a variety of qubit modalities

  • Research and co-design integration of classical control systems, QPUs, and heterogeneous GPU and CPU compute, including computation and communication requirements

  • Collaborate with internal teams and external partners on developing technology requirements and system components to enable fault-tolerant quantum computing

  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

  • PhD Degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience

  • Extensive background in Quantum Information Science and Systems Engineering with 12+ overall years of experience in the Quantum Computing industry

  • A demonstrated ability to deliver high impact value in quantum computing systems design

  • Hands-on experience working with several different types of qubits and controller systems

Ways to stand out from the crowd:

  • Hands-on experience with co-design of control systems with qubit architectures, ideally including communication and networking techniques

  • Working knowledge of methods of measuring and benchmarking quantum systems

  • Adoption of AI and ML techniques

  • Experience with CUDA and NVIDIA GPUs

  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

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

AI
Cuda
Ml
Nvidia Gpus
Qpus
Quantum Computing
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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