Public listing

Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia 2 Locations
  • Experience5+ yrs
  • ListedPosted 15 hours ago
  • SourceWorkday

Role overview

About the role

Description supplied by the original job listing.

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 quantum error correction codes and their logical operations, including methods for implementation and logical operation synthesis
Research and co-design improved methods to achieve fault tolerance, such as techniques for logical operations, concatenation, synthesis, distillation, cultivation, or others
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:
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 8+ overall years of experience in the Quantum Computing industry
A demonstrated ability to deliver high impact value in quantum error correction and fault tolerance
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
#LI-Hybrid
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/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 13, 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.

Skills
Machine Learning, Deep Learning

Experience
5+ yrs

Skills from the listing

  • Machine Learning
  • Deep Learning

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