Senior Quantum Applied Research Scientist, Calibration and Decoding
Nvidia
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How this pay compares to similar roles
This role pays more than 78% of similar roles. Most pay $175,000–$246,500 — the blue band above. At the midpoint, this role pays about $248k versus about $211k for comparable roles.
Based on 240 similar postings.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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At a glance
As a Senior Quantum AI Research Scientist in the Applied Research team, you will architect and build AI solutions at the heart of fault-tolerant quantum computing. Your primary responsibilities include designing and building AI models for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration. You will develop open AI models, curated datasets, and rigorous benchmarks to advance the state of the art. Key technologies and skills include deep neural networks, graph neural networks, transformers, reinforcement-learning agents, and proficiency with CUDA, PyTorch Distributed, and JAX pmap. You will work on the technical problem of translating cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms to meet latency and throughput requirements for real-time operation.
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