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Quantum Computing Nvidia Jobs (NOW HIRING)

Nvidia

Senior Quantum Software Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA's cuQuantum group is a dynamic, high-impact team with strong visibility across the global quantum and HPC communities. We are building the foundations for scalable scientific computing and ...

Nvidia

OR · On-site

$122K - $161K/yr

NVIDIA's cuQuantum group is a dynamic, high-impact team with strong visibility across the global quantum and HPC communities. We are building the foundations for scalable scientific computing and ...

Nvidia

OR · Hybrid

$104K - $142K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are seeking a Senior Quantum/HPC Systems Engineer to help architect, deploy, and operate a first ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are seeking a Senior Quantum/HPC Systems Engineer to help architect, deploy, and operate a first ...

Nvidia

Product Manager, CUDA-Q

Santa Clara, CA · On-site

Evangelizing and fostering NVIDIA's accelerated computing platform within the quantum computing ecosystem through technical presentations, whitepapers, conference talks, and direct engagement

Nvidia

OR · On-site

Evangelizing and fostering NVIDIA's accelerated computing platform within the quantum computing ecosystem through technical presentations, whitepapers, conference talks, and direct engagement

Nvidia

OR · Hybrid

$104K - $142K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a ...

Nvidia

OR

$15 - $20/hr

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... We are looking for a Quantum Error Correction Research Scientist Intern to develop automated, high ...

Nvidia

OR · On-site

NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid ...

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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 Software Engineer

Senior Quantum Software Engineer

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 22 days ago

Job description

We are seeking a Senior Software Engineer with strong expertise in C++, Python to design, develop, and optimize GPU-accelerated software for quantum computing. In this role, you will build and scale high-performance distributed libraries that implement tensor network-based algorithms at the core of large-scale quantum simulation and quantum-HPC workflows. You will play a key role in evolving NVIDIA's quantum-HPC platforms, pushing the boundaries of performance and scalability, and driving widespread adoption of NVIDIA's accelerated quantum computing solutions.

NVIDIA's cuQuantum group is a dynamic, high-impact team with strong visibility across the global quantum and HPC communities. We are building the foundations for scalable scientific computing and emerging quantum-HPC workflows. We tackle some of the most exciting challenges by combining deep domain expertise in quantum technologies with leadership in GPU-accelerated software. Our team works closely across Product, Engineering, and Research to deliver efficient, reliable software deployed across supercomputing centers and cloud environments worldwide.

What You'll Be Doing:

  • Build, develop, and maintain HPC-quantum libraries and APIs in C++ and Python, with a strong focus on tensor network-based algorithms and representations.

  • Translate innovative quantum research concepts into production-ready, industry-grade software that integrates seamlessly into NVIDIA's quantum-HPC ecosystem.

  • Take ownership of new functionality from concept to productization, including design, implementation, testing, debugging, performance tuning and documentation.

  • Drive opportunities to improve library quality, performance, scalability, and maintainability through thoughtful re-architecture and modern software engineering practices.

  • Collaborate closely with product management, architects, and internal and external partners to understand user workflows, define requirements, and contribute to technical roadmaps.

What We Need To See:

  • Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience).

  • 3+ years of experience.

  • Strong proficiency with C++ and/or Python languages, with experience in GPU-accelerated and parallel programming models.

  • Solid Background in numerical linear algebra (SVD, QR, low-rank approximations, truncation strategies) and their use in tensor network algorithms.

  • Shown experience working on quantum simulation techniques, in particular any of Tensor Networks, MPS, PEPS, Tree Tensor Networks, State-Vector, Stabilizer formalism. With proven ownership of large-scale projects.

  • Excellent communication and interpersonal skills, with the ability to collaborate effectively across multidisciplinary teams.

Ways To Stand Out From The Crowd:

  • Proficiency and experience with quantum algorithms, hybrid quantum-classical workflows and quantum programming frameworks such as CUDA-Q, Qiskit, PennyLane, Cirq, QTip, Stim, or Braket is a strong plus.

  • Solid foundations and practical involvement in Quantum Error Correction, Noise-aware and Error-mitigated simulation, Quantum numerical methods.

  • Experience in analyzing, benchmarking, and optimizing software across CPU and GPU architectures, demonstrating skills in performance profiling and scalability analysis.

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 - 241,500 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 February 28, 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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