Senior Quantum Error Correction Research Scientist, Applied Research

Posted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
184K-299K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Quantum Error Correction Research Scientist will innovate technologies for Fault-Tolerant Quantum Computing, collaborating with teams to advance quantum capabilities and solutions.
Summary Generated by Built In

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 the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 18, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Applied Machine Learning
Cuda
Deep Learning
High Performance Computing
Nvidia Gpus
Quantum Computing
Quantum Error Correction
Scientific Computing
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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