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Jobs / AI / ML Researcher in United States of America
11 days ago
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NVIDIA·Semiconductors·11 days ago
11 days ago

Senior Quantum Error Correction Research Scientist, Applied Research

Redmond, United States of AmericaFull-timeHybridMid · 5-8 yearsAI / ML Researcher

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Must-have skills for this role

  • quantum error correction
  • fault tolerance
  • quantum information science
  • quantum computing

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research
  • Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware
  • Research and co-design improved methods to achieve more scaled decoders
  • Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware
  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What they're looking for

  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)
  • Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry
  • A demonstrated ability to deliver high impact value in quantum error correction and decoding

Nice to have

  • 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 quantum applications
  • Experience with CUDA and NVIDIA GPUs
  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Senior Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team, and work with partners across the industry. You’ll help unlock new capabilities in fault tolerance, and bring theory into practice. Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light? If yes, we would love to hear from you!

What you'll be doing:

  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

  • Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware

  • Research and co-design improved methods to achieve more scaled decoders

  • Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)

  • Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry

  • A demonstrated ability to deliver high impact value in quantum error correction and decoding

Ways to stand out from the crowd:

  • 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 quantum applications

  • Experience with CUDA and NVIDIA GPUs

  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 14, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Semiconductors

Company

NVIDIASemiconductors
Redmond, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from NVIDIA's careers site·first seen 10 Sept 2026·last verified 10 Sept 2026·How we source jobs

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