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Quantum Computing Nvidia Jobs (NOW HIRING)

Nvidia

OR · On-site

$153K/yr

Quantum Information Science presents an exciting opportunity to transform the high performance ... NVIDIA is at the forefront of innovation in accelerated computing, solving the world's most ...

Nvidia

OR · On-site

$153K/yr

Quantum Information Science presents an exciting opportunity to transform the high performance ... NVIDIA is at the forefront of innovation in accelerated computing, solving the world's most ...

Nvidia

OR · On-site

$104K - $142K/yr

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 ...

Beyond SOF

Nvidia Engineer

Washington, DC · On-site

Develop and optimize quantum computing solutions using Nvidia's quantum computing platforms. * Collaborate with quantum engineers to integrate Nvidia's quantum technologies into the company ...

New

Beyond SOF

Nvidia Engineer

Washington, DC · On-site

Develop and optimize quantum computing solutions using Nvidia's quantum computing platforms. Collaborate with quantum engineers to integrate Nvidia's quantum technologies into the company's projects.

Beyond SOF

Nvidia Engineer

Washington, DC · On-site

Develop and optimize quantum computing solutions using Nvidia's quantum computing platforms. Collaborate with quantum engineers to integrate Nvidia's quantum technologies into the company's projects.

Nvidia

OR

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... We are looking for a Quantum Research Scientist Internto work at the intersection of design ...

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How much do quantum computing nvidia jobs pay per year?

As of Jun 5, 2026, the average yearly pay for quantum computing nvidia in the United States is $111,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantum Computing Specialist at Nvidia, and why are they important?

To thrive as a Quantum Computing Specialist at Nvidia, you need a strong background in quantum mechanics, computer science, and advanced mathematics, typically supported by a graduate degree in a related field. Experience with quantum programming languages (such as Qiskit or Cirq), familiarity with Nvidia's CUDA platform, and understanding of high-performance computing systems are essential. Strong problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are critical for advancing quantum algorithms and integrating them with cutting-edge GPU technology to drive innovation in quantum computing.

How does a Quantum Computing role at Nvidia typically collaborate with cross-functional teams to drive innovation?

In a Quantum Computing role at Nvidia, you will frequently collaborate with interdisciplinary teams, including hardware engineers, software developers, and research scientists. The nature of quantum computing projects often requires integrating quantum algorithms with Nvidia’s GPU architectures, so close communication with both hardware and software divisions is essential. You may also engage with external academic partners and industry collaborators to stay at the forefront of research and accelerate the development of quantum solutions. This collaborative environment fosters innovation and provides opportunities to contribute to groundbreaking advancements in quantum and classical computing.

What is a Quantum Computing Engineer at Nvidia?

A Quantum Computing Engineer at Nvidia is a professional who works on developing hardware, software, and algorithms to enable quantum computing applications, often leveraging Nvidia's GPU technologies. They collaborate with researchers, software developers, and hardware engineers to accelerate quantum computing research and integrate quantum systems with existing high-performance computing (HPC) infrastructure. Their work may include building quantum simulators, optimizing quantum algorithms, and developing tools that bridge classical and quantum computing. Nvidia's quantum computing team is at the forefront of exploring how GPUs can support quantum workloads and advance the field.

What is the difference between Quantum Computing Nvidia vs Quantum Software Engineer?

AspectQuantum Computing NvidiaQuantum Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Physics, or related; knowledge of quantum hardwareBachelor's or Master's in Computer Science, Physics, or related; programming skills in quantum languages
Work EnvironmentTech companies focusing on hardware development and quantum hardware integrationResearch labs, tech firms, or startups developing quantum algorithms and software
Industry UsageHardware manufacturing, hardware-software integration, AI, and high-performance computingAlgorithm development, software simulation, and application of quantum computing principles

While both roles require a strong background in quantum computing and related credentials, Quantum Computing Nvidia primarily focuses on hardware development and integration within Nvidia's ecosystem. In contrast, Quantum Software Engineers concentrate on developing algorithms and software applications for quantum computers. Both roles are vital in advancing quantum technology but differ in their core responsibilities and work environments.

Senior Quantum Systems Engineer - Quantum Computing

Senior Quantum Systems Engineer - Quantum Computing

Nvidia

Santa Clara, CA • On-site

$122K - $167K/yr

Full-time

Posted 13 days ago

Job description

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 25, 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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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