Senior Quantum AI Research Scientist, Applied Research
Nvidia
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This role pays more than 89% of similar roles. Most pay $177,250–$221,000 — the blue band above. At the midpoint, this role pays about $248k versus about $199k 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 1637 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1054 roles with salary data.
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At a glance
As a Senior Quantum Error Correction Research Scientist within the Quantum Computing Applied Research team, you will focus on technical pathfinding to advance Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers. Your daily responsibilities involve developing novel approaches to decoding quantum error correction codes and their logical operations, researching advanced hardware implementations, and co-designing improved methods to achieve more scaled decoders. You will collaborate with multi-functional teams in Product, Engineering, and Applied Research to develop technology components for a fault-tolerant software stack integrated with quantum hardware. The role requires expertise in Quantum Information Science, scientific computing, high-performance computing, applied machine learning, and deep learning. You should possess experience with CUDA and NVIDIA GPUs while solving complex problems related to quantum error correction and decoding.
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