Senior Quantum Applied Research Scientist, Calibration and Decoding

What you'll do

• Research open AI models for quantum system calibration and build physics-informed synthetic-data pipelines and hardware surrogate models.
• Design real-time systems that co-optimize calibration and decoding; apply reinforcement and online learning to calibration.
• Develop GPU-accelerated implementations and collaborate with research, product, engineering, academic, and industry partners.

What they ask for

• Master’s degree in Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience).
• 8+ years of combined experience and high impact in quantum systems and AI/ML research.
• Hands-on expertise in machine learning and deep learning for science or physics, including architecture design, scaled training, fine-tuning, and evaluation.
• Strong background in quantum device physics and information science, including noise models, error mechanisms, and fault-tolerant systems; broad understanding of quantum control.

Nice to have

• Ph.D. (strongly preferred).
• Experience with learned calibration or decoding models in real-time feedback loops, reinforcement learning, physics-informed synthetic data, large-scale model training, or CUDA and NVIDIA GPU programming.

Pay

192,000 USD - 304,750 USD (base salary)

Tools

AI/ML, reinforcement learning, online learning, LoRA, QLoRA, CUDA, NVIDIA GPU

AI focus

Builds and deploys AI models for quantum calibration and decoding, including synthetic data generation, surrogate modeling, reinforcement and online learning, and real-time fault-tolerant feedback.