Quantum Calibration & Real-Time AI Research Scientist

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

Job summary

NVIDIA Corporation seeks a Senior Quantum Applied Research Scientist to design real-time AI systems that learn from quantum device physics, calibration experiments, and decoding performance. You will build physics-informed data pipelines and surrogate models to enable fault-tolerant quantum control, collaborating with global teams.

The role emphasizes advanced ML for science, reinforcement learning, and scalable GPU-accelerated workflows, with a strong emphasis on innovation and

Qualifications

• Holds a masters or PhD in a relevant field with 8+ years in quantum AI research.
• Hands-on ML/DL for science, including model design, training at scale.
• Strong background in quantum device physics and information science.
• Excellent communication and collaboration skills.

Responsibilities

• Research and develop open AI models for quantum system calibration.
• Build physics-informed synthetic data pipelines leveraging device models.
• Develop surrogate models of quantum hardware to predict performance.
• Architect real-time AI systems for calibration and decoding requirements.
• Apply reinforcement and online learning to calibration policy optimization.
• Develop GPU-accelerated implementations for scalable workflows.

Skills

ML for science

Quantum AI research

Modeling in physics

Communication skills

Education

Master's degree in Physics/CS/EE/Math

Ph.D. preferred

Tools

CUDA

Python

TensorFlow/PyTorch

Job description

NVIDIA Corporation seeks a Senior Quantum Applied Research Scientist to design real-time AI systems that learn from quantum device physics, calibration experiments, and decoding performance. You will build physics-informed data pipelines and surrogate models to enable fault-tolerant quantum control, collaborating with global teams.

The role emphasizes advanced ML for science, reinforcement learning, and scalable GPU-accelerated workflows, with a strong emphasis on innovation and