Senior Quantum Applied Research Scientist, Calibration and Decoding
Core
Design and build real-time AI models for fault-tolerant quantum hardware, focusing on calibration, decoding, and physics-informed data synthesis.
Role type
Senior IC quantum applied research scientist (calibration & decoding)
Builds
Real-time AI systems, physics-informed synthetic data pipelines, and surrogate models for quantum control stacks
Domain
Quantum computing (fault-tolerant hardware) + Machine Learning
Deliverable
production ML models
Required skills
Quantum device physics, machine learning architecture design, reinforcement learning, GPU programming, Hamiltonian characterization, noise modeling, classical feedback control
Preferred skills
Learned calibration/decoding model deployment, sim-to-real transfer, parameter-efficient fine-tuning (LoRA/QLoRA), CUDA programming
Technologies
CUDA, NVIDIA GPUs, reinforcement learning frameworks, quantum simulators
Responsibilities
Develop open AI models for quantum system calibration; Build physics-informed synthetic data generation pipelines; Develop surrogate models of quantum hardware; Architect performant real-time AI systems for calibration-decoding; Apply reinforcement learning for calibration policy optimization; Develop GPU-accelerated implementations for scaling
Seniority
Senior, hands-on IC
