Top 52 Qubit quantum ai research Jobs

Senior Quantum AI Research Scientist, Applied Research
NVIDIA —Santa Clara, CA
- $192,000 - $304,750 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- 8 years
Research Scientist, Experimental Quantum Error Correction, Quantum AI
Google —Goleta, CA
- $147,000 - $211,000 a year
- Full-time
- Analysis skills
- Doctor of Philosophy
- Experience equivalent to degree accepted
Senior Research Scientist, Superconducting Qubit Measurement, Quantum AI
Google —Cambridge, MA
- $174,000 - $253,000 a year
- Full-time
- 3 years
- Doctor of Philosophy
- Senior level
6d
Senior Quantum Applied Research Scientist, Calibration and Decoding
NVIDIA —Santa Clara, CA
- $192,000 - $304,750 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
Senior Quantum Applied Research Scientist, Physics Modeling
NVIDIA —Santa Clara, CA
- $192,000 - $304,750 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- 8 years
Senior Quantum Materials MBE Engineer
Microsoft —West Lafayette, IN
- $119,800 - $261,000 a year
- Full-time
- Background check
- Engineering
- Doctor of Philosophy
Quantum Error Correction Researcher
Microsoft —Santa Barbara, CA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
Quantum Error Correction Software Engineer
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
Senior Quantum Materials UHV Hardware Engineer
Microsoft —West Lafayette, IN
- $119,800 - $261,000 a year
- Full-time
- Background check
- Engineering
- Continuous improvement
Materials & Manufacturing Researchers
Rensselaer Polytechnic Institute —Troy, NY
- $62,354 - $138,000 a year
- Temporary
- University
- Doctor of Philosophy
- Manufacturing
- Paid training
- Health insurance
Energy, Environment, and Sustainability Researchers
Rensselaer Polytechnic Institute —Troy, NY
- $62,354 - $138,000 a year
- Temporary
- Mid-level
- University
- Doctor of Philosophy
- Paid training
- Health insurance
Principal Quantum Advanced Characterization Engineer
Microsoft —West Lafayette, IN
- $142,800 - $304,200 a year
- Full-time
- Background check
- Engineering
- 3 years
Senior Engineering Planning Coordinator - Quantum Systems Integration
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Doctoral degree
- Engineering
Quantum Engineer
Rigetti Computing —Fremont, CA
- $155,000 - $200,000 a year
- Full-time
- Master's degree
- Doctor of Philosophy
- Senior level
- Paid parental leave
- Health insurance
Microelectronics Researchers
Rensselaer Polytechnic Institute —Troy, NY
- $62,354 - $138,000 a year
- Temporary
- University
- Doctor of Philosophy
- Senior level
- Paid training
- Health insurance
Senior Manager, Data Science - Quantum Computing Research (Remote-Eligible)
Capital One —McLean, VA
- Email
- Remote
- Computer Science
- Bachelor's degree
- Doctor of Philosophy
- Health insurance
Principal Quantum Materials Engineer
Microsoft —West Lafayette, IN
- $142,800 - $304,200 a year
- Full-time
- Background check
- Engineering
- System design
Principal Quantum Materials Nanofabrication Engineer
Microsoft —West Lafayette, IN
- $142,800 - $304,200 a year
- Full-time
- Background check
- Doctoral degree
- Engineering
Process Integration Engineer E4
Applied Materials —Albany, NY
- $128,000 - $176,000 a year
- Full-time
- Doctoral degree
- Mid-level
- Master's degree
Senior Quantum Engineer
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Doctoral degree
- Engineering

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Senior Quantum AI Research Scientist, Applied Research

NVIDIA -
Santa Clara, CA

Apply Now

Job Details

Full-time
$192,000 - $304,750 a year

Qualifications

AI models
Collaboration with product development teams
Machine intelligence
Engineering research
Model training
Research & development
Model evaluation

Full 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.

Apply Now

Refine Your Search

qubit quantum ai research jobs

Senior Quantum AI Research Scientist, Applied Research

Research Scientist, Experimental Quantum Error Correction, Quantum AI

Senior Research Scientist, Superconducting Qubit Measurement, Quantum AI

Senior Quantum Applied Research Scientist, Calibration and Decoding

Senior Quantum Applied Research Scientist, Physics Modeling

Senior Quantum Materials MBE Engineer

Quantum Error Correction Researcher

Quantum Error Correction Software Engineer

Senior Quantum Materials UHV Hardware Engineer

Materials & Manufacturing Researchers

Energy, Environment, and Sustainability Researchers

Principal Quantum Advanced Characterization Engineer

Senior Engineering Planning Coordinator - Quantum Systems Integration

Quantum Engineer

Microelectronics Researchers

Senior Manager, Data Science - Quantum Computing Research (Remote-Eligible)

Principal Quantum Materials Engineer

Principal Quantum Materials Nanofabrication Engineer

Process Integration Engineer E4

Senior Quantum Engineer

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