Quantum AI Scientist — Fault-Tolerant QC & Open Models

NVIDIA; Santa Clara (CA); On-site; USD 192,000 - 305,000; Full time

Job summary

NVIDIA is seeking a Sr. Applied Research Scientist in Quantum Computing to architect and build AI solutions for fault-tolerant quantum systems, spanning error correction, decoding, calibration, and beyond.

You will collaborate with Product, Engineering, and Applied Research teams to translate theory into practice, design AI models, datasets, and benchmarks, and push the frontier of accelerated quantum computing.

Qualifications

• Ph.D. strongly preferred; equivalent demonstrated experience also considered.
• 8+ years in quantum computing and/or AI/ML research with high-impact contributions.
• Deep expertise in machine learning model design, training at scale, and evaluation.
• Strong background in Quantum Information Science, including quantum error correction and fault-tolerant protocols.
• Excellent communication and collaboration across cross-functional teams.

Responsibilities

• Design and architect AI/ML models for quantum error correction, decoding, and real-time calibration.
• Develop cutting-edge AI techniques for quantum computing and open model efforts.
• Create large-scale datasets for quantum error correction and system characterization, including hardware-derived data.
• Collaborate with quantum hardware teams to collect and structure training data.
• Co-design AI solutions ensuring latency/throughput requirements for fault-tolerant systems.
• Publish findings and collaborate with academia and industry partners.

Skills

Deep learning

Quantum computing

Model training at scale

CUDA

Education

Ph.D. in related field

Tools

PyTorch

TensorFlow

JAX

Job description

NVIDIA is seeking a Sr. Applied Research Scientist in Quantum Computing to architect and build AI solutions for fault-tolerant quantum systems, spanning error correction, decoding, calibration, and beyond.

You will collaborate with Product, Engineering, and Applied Research teams to translate theory into practice, design AI models, datasets, and benchmarks, and push the frontier of accelerated quantum computing.