Senior Quantum Applied Research Scientist, Calibration and Decoding
Core
Design and build real-time AI models for quantum system calibration and decoding to enable fault-tolerant quantum hardware.
Role type
Senior Applied Research Scientist (Quantum/AI)
Builds
Real-time calibration-decoding pipelines, physics-informed synthetic data generators, and surrogate models for quantum hardware.
Domain
Quantum Computing / Machine Learning
Deliverable
production ML models
Required skills
Quantum device physics, Machine learning, Deep learning, Reinforcement learning, GPU programming, Synthetic data generation, Hamiltonian characterization, Noise modeling, Classical feedback control, Model architecture design
Preferred skills
Learned calibration/decoding deployment, Sim-to-real transfer, Parameter-efficient fine-tuning (LoRA/QLoRA), CUDA programming
Technologies
CUDA, NVIDIA GPUs, Reinforcement Learning, Hamiltonian models
Responsibilities
Develop physics-informed synthetic data generation pipelines; Build surrogate models of quantum hardware; Architect performant real-time AI systems for calibration and decoding; Apply reinforcement learning for calibration policy optimization; Develop GPU-accelerated implementations; Communicate research findings and collaborate with partners.
