Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA · Santa Clara, CA
Salary
$192,000–$304,750 / yr
Posted
146 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $248k
$116k most similar roles pay here $325k

This role pays more than 90% of similar roles. Most pay $154,875–$216,250 — the shaded band above. At the midpoint, this role pays about $248k versus about $186k 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 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 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 at NVIDIA’s Quantum Computing Applied Research team, you will lead technical pathfinding in fault-tolerant quantum computing, collaborating with multi-functional teams across Product, Engineering, and Applied Research. Your day-to-day responsibilities include developing innovative decoding methods for quantum error correction codes and logical operations, researching advanced hardware implementations, and co-designing improved decoders to scale up the technology stack. You will also work closely with internal and external partners to integrate fault-tolerant software components with quantum hardware. Ideal candidates hold a Master’s degree or higher in Physics, Computer Science, Chemistry, Applied Mathematics, or related fields, with extensive experience in Quantum Information Science and hands-on expertise in scientific computing, high-performance computing, applied machine learning, CUDA, and NVIDIA GPUs. This role demands a passion for driving technology innovations into NVIDIA’s software and hardware products to support the rapidly growing quantum computing ecosystem.

Skills

QuantumComputing CUDA NVIDIA_GPUs Python C++ HighPerformanceComputing MachineLearning DeepLearning FaultTolerance ErrorCorrection CollaborativeResearch ScientificComputing CI/CD

What you'll do

  • 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 for achieving more scalable decoders.
  • Collaborate on developing technology components for a fault-tolerant software stack integrated with quantum hardware.
  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance.

What we're looking for

  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related field (Ph.D. preferred)
  • Extensive background in Quantum Information Science with over 6 years of experience in Quantum Computing industry
  • Demonstrated ability to deliver high impact value in quantum error correction and decoding
  • Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning
  • Experience with co-design of quantum error correction with quantum hardware or applications
  • Familiarity with CUDA and NVIDIA GPUs

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