NVIDIA
Senior Quantum AI Research Scientist, Applied Research
$192K–$305K
US, WA, Redmond +1 · Senior · Full-time · Posted May 21, 2026
- Location
- US, WA, Redmond
US, CA, Santa Clara - Experience
- 8+ years of combined experience in quantum computing and/or AI/ML research; a track record of high-impact contributions in at least one domain.
- Education
- Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered.
About the job
Research and develop AI models, datasets, and benchmarks for fault-tolerant quantum computing, including error correction, decoding, and calibration.
What you'll do
- Design AI/ML models for quantum error correction, decoding, logical operation synthesis, and real-time calibration.
- Develop open AI models and large-scale datasets, and collaborate with hardware and software teams to integrate models into real-time quantum systems.
- Communicate research through leading venues and work with academic and industry partners.
What they ask for
- Deep expertise in machine learning and deep learning, including model design, large-scale training, and evaluation.
- Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models.
- Excellent communication and cross-functional collaboration skills.
Nice to have
- Hands-on experience with learned quantum decoders or AI-driven quantum hardware calibration.
- Experience with large-scale model training and fine-tuning, CUDA and NVIDIA GPU programming, or HPC and distributed training frameworks.
Pay
192,000 USD - 304,750 USD (base salary)
Tools
CUDA, LoRA, QLoRA, PyTorch Distributed, Megatron-LM, JAX pmap
AI focus
Develop AI for fault-tolerant quantum systems, including error correction, syndrome decoding, calibration, logical operation synthesis, model fine-tuning, and real-time feedback loops.
Model-written summary · the original posting is authoritative