Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WASanta Clara, CA
Salary: $192,000–$304,750 / yr
Posted: 5 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $248k

$148k most similar roles pay here $322k

This role pays more than 82% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $248k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

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 930 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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At a glance

TL;DR · Senior Quantum Error Correction Research Scientist, Applied Research

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As a Senior Quantum Error Correction Research Scientist, Applied Research, you will join the Quantum Computing team to focus on technical pathfinding for Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers. You will work with multi-functional teams in Product, Engineering, and Applied Research to develop novel approaches for decoding quantum error correction codes and their logical operations. Your daily responsibilities include researching advanced hardware implementations, co-designing improved methods for scaled decoders, and collaborating with internal and external partners to build 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. Candidates should possess skills in CUDA and NVIDIA GPUs while addressing the technical challenge of bringing theoretical error correction into practical application for large-scale quantum systems.

Skills

Quantum Error Correction Fault-Tolerant Quantum Computing Quantum Information Science CUDA NVIDIA GPUs High-Performance Computing Machine Learning Deep Learning Scientific Computing

What you'll do

Path-find technical innovations in Quantum Error Correction and Fault Tolerance.
Develop novel approaches to decoding quantum error correction codes and their logical operations.
Research advanced implementations of quantum error correction in hardware.
Co-design improved methods to achieve more scaled decoders.
Develop technology components for a fault-tolerant software stack integrated with quantum hardware.
Translate theoretical quantum information science into practical, scalable technologies.

What we're looking for

Master's degree in Physics, Computer Science, Chemistry, Applied Mathematics, or a related engineering field is required.
A Ph.D. is preferred for this position.
Candidates must have an extensive background in Quantum Information Science.
Experience in the Quantum Computing industry is required.
Demonstrated ability to deliver high impact value in quantum error correction and decoding is required.
Experience in scientific computing, high-performance computing, applied machine learning, or deep learning is preferred.
Experience with co-design of quantum error correction with quantum hardware or applications is preferred.
Experience with CUDA and NVIDIA GPUs is preferred.