Senior Quantum Applied Research Scientist, Calibration and Decoding
$192k - $305k • US, WA, Redmond
Posted 1mo ago
Job Location
US, WA, Redmond
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking a scientist at the intersection of quantum device physics, quantum calibration, and machine learning to help accelerate the quantum ecosystem. This role will focus on designing and building real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks for the quantum community. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing, spanning synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers.
Responsibilities
- Research and develop open AI models for quantum system calibration.
- Build physics-informed synthetic data generation pipelines using quantum device models and noise channels.
- Develop surrogate models of quantum hardware to predict performance and infer parameters.
- Architect real-time AI systems that jointly optimize calibration state and decoding requirements.
- Apply reinforcement learning and online learning methods to optimize calibration policies.
- Develop GPU-accelerated implementations for scalability.
- Communicate research findings and collaborate with partners to advance the field.
Requirements
- Master's degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or related field (Ph.D. strongly preferred), or equivalent experience.
- 8+ years of combined experience in quantum systems and AI/ML research.
- Hands-on expertise in machine learning and deep learning for science or physics, including model architecture design, training, fine-tuning, and evaluation.
- Strong background in quantum device physics and information science, including noise models and fault-tolerant quantum systems.
- Broad understanding of quantum control, including pulse-level hardware interfaces and classical feedback.
- Excellent communication and collaboration skills.
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Equity