Senior Quantum Error Correction Research Scientist, Applied Research

at Nvidia

📍 Redmond, United States

USD 192,000-304,800 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

CUDA @ 4 Deep Learning @ 4 GPU HPC Machine Learning @ 4 Mathematics @ 4

Details

NVIDIA is seeking a passionate technologist with deep quantum computing domain expertise to help develop innovative technologies advancing fault-tolerant quantum computing for accelerated quantum supercomputers. The role focuses on technical pathfinding and collaboration with multifunctional teams across Product, Engineering, and Applied Research, as well as industry partners.

Responsibilities

Path-find technical innovations in quantum error correction and fault tolerance with multifunctional teams.
Develop novel approaches to decoding quantum error correction codes and their logical operations, including advanced hardware implementations.
Research and co-design improved methods for achieving more scalable decoders.
Collaborate with internal teams and external partners to develop technology components enabling a fault-tolerant software stack integrated with quantum hardware.
Drive collaboration, rapid innovation, technical depth, and creative problem solving.

Requirements

Master's degree in Physics, Computer Science, Chemistry, Applied Mathematics, a related engineering field, or equivalent experience; a Ph.D. is preferred.
Extensive background in Quantum Information Science.
Six or more years of overall experience in the quantum computing industry.
Demonstrated ability to deliver high-impact value in quantum error correction and decoding.

Preferred Qualifications

Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning.
Experience co-designing quantum error correction with quantum hardware or quantum applications.
Experience with CUDA and NVIDIA GPUs.
Passion for driving technology innovations into NVIDIA software and hardware products supporting quantum computing.