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Quantum Research Scientist Jobs (NOW HIRING)

IBM

Research Scientist

Chicago, IL · On-site

From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate ... Your role and responsibilities IBM Research is seeking a research scientist to advance novel ...

IBM

Quantum Hardware Research Scientist

Yorktown, NY · On-site

Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'll collaborate with leading scientists, engineers ...

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Quantum Research Scientist information

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$50.5K

$130.1K

$174K

How much do quantum research scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quantum research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a quantum research scientist?

A Quantum Research Scientist studies, develops, and applies quantum mechanics principles to solve complex problems in computing, cryptography, materials science, and other fields. They work with quantum algorithms, quantum hardware, and theoretical models to advance quantum technologies. Their responsibilities may include conducting experiments, developing simulations, and collaborating with interdisciplinary teams. This role is typically found in academic institutions, tech companies, or government research labs. A strong background in physics, mathematics, and computer science is essential for success in this field.

What does a quantum research scientist do?

A typical day for a Quantum Research Scientist often involves designing and running quantum experiments, analyzing experimental or simulation data, and collaborating with cross-functional teams including physicists, engineers, and computer scientists. You may spend time writing research papers or presenting findings to stakeholders and at conferences. Regular tasks also include staying up-to-date with the latest scientific literature and exploring creative approaches to solve technical challenges. Expect a mix of hands-on lab work, programming, critical discussions in team meetings, and independent research tasks, all contributing to advancing the field of quantum technology.

What are the key skills and qualifications needed to thrive as a quantum research scientist?

To thrive as a Quantum Research Scientist, you need a robust background in quantum mechanics, mathematics, and physics, typically with a Ph.D. in a related field. Experience with quantum programming languages (such as Qiskit or Cirq), laboratory equipment, and high-performance computing frameworks is highly valuable. Strong analytical thinking, problem-solving ability, teamwork, and clear scientific communication set standout researchers apart. These skills are crucial for pushing the boundaries of quantum technology, interpreting complex data, and collaborating in multidisciplinary research environments.

How do you become a quantum research scientist?

To become a quantum research scientist, individuals typically need a Ph.D. in physics, quantum engineering, or a related field, along with strong skills in quantum mechanics, programming, and data analysis. Gaining experience through research projects, internships, or postdoctoral work is also important, as is familiarity with tools like quantum simulators and programming languages such as Python or MATLAB.

How much do quantum research scientists make?

Quantum research scientists typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, education, and location. Advanced roles or those with specialized skills in quantum computing or physics can offer higher compensation, especially in research institutions or tech companies.
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Quantum Research Scientist jobs near you
Infographic showing various Quantum Research Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 10% Part Time, and 1% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Senior Quantum AI Research Scientist, Applied Research

Redmond, WA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$110K - $140K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning.
Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing-spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers!
Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you!
What you'll be doing:
  • Design and architect AI/ML models-including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents-for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
  • Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem.
  • Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale.
  • Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures.
  • Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops.
  • Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving.

What we need to see:
  • Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.
  • 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains.
  • Deep expertise in machine learning and deep learning-including model architecture design, training at scale, and evaluation-applied to scientific or engineering problems.
  • Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.
  • Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product.

Ways to stand out from the crowd:
  • Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms).
  • Experience with large-scale model training and fine-tuning-including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models.
  • Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads.
  • Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads.
  • Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem.

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 192,000 USD - 304,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 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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Hours and flexibility

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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

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