Hybrid Quantum AI Scientist—Fault-Tolerant ML for Qubits

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 192,000 - 305,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

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

You will research, build open AI models, and create rigorous benchmarks that advance the field. Collaborate with Product, Engineering, and Applied Research teams to translate theory into practice, fine-tune models for quantum codes and hardware platforms, and drive rapid

Qualifications

• Ph.D. strongly preferred; equivalent experience considered.
• 8+ years in quantum computing and/or AI/ML research.
• Deep ML/DL expertise for scientific/engineering problems.
• Strong Quantum Information Science background (QEC, fault-tolerance).
• Excellent communication across multi-functional teams.

Responsibilities

• Design and architect AI/ML models for quantum error correction and calibration.
• Develop AI techniques for quantum computing across NVIDIA’s ecosystem.
• Create large-scale datasets for quantum error correction and system characterization.
• Collaborate with hardware teams to collect training data for domain-adapted models.
• Co-design AI solutions with hardware/software teams to meet latency requirements.
• Communicate findings through top venues and collaborate with partners.

Skills

Machine learning

Deep learning

Model architecture

Training at scale

Evaluation

Quantum information science

Education

Ph.D. strongly preferred

Equivalent demonstrated experience

Tools

CUDA

PyTorch

Megatron-LM

JAX pmap

Job description

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

You will research, build open AI models, and create rigorous benchmarks that advance the field. Collaborate with Product, Engineering, and Applied Research teams to translate theory into practice, fine-tune models for quantum codes and hardware platforms, and drive rapid