Senior Quantum Error Correction Research Scientist

at Nvidia

📍 United States

$180,000-345,000 per year

SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Algorithms @ 4 Machine Learning @ 4 Communication @ 4 Mathematics @ 4

Details

At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. NVIDIA’s Quantum team is looking for Quantum Error Correction (QEC) Research Scientist to help us define how accelerated computing will enable QEC. We are seeking experts in quantum error correction (QEC) and fault-tolerant quantum computing (FTQC) with a desire to scale current state-of-the-art methods with AI and ML. This is a great opportunity to contribute to our growing Applied Quantum Research Team and unlock a new era in QEC. If you want to help push the boundaries of quantum computing, we want to hear from you!

Responsibilities

  • Develop new QEC codes with AI and ML techniques.
  • Collaborate with QPU builders and accelerated computing experts to realize QEC simulations and experiments.
  • Discover high impact problems in FTQC NVIDIA can uniquely solve that create new market paradigms.
  • Partner with other NVIDIA Quantum teams and provide insights that will influence our quantum strategy.
  • Speak at relevant scientific, technical and industry conferences.

Requirements

  • Masters Degree in Physics, Mathematics, Computer Science, or related engineering field or equivalent experience (Ph.D. preferred)
  • Extensive background in Quantum Information Science with expertise in one of the following: protocols for Quantum Error Correction, algorithms for FTQC, or similar domain.
  • 5+ years research experience in Quantum Computing, High Performance Computing and related areas.
  • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Ways To Stand Out From The Crowd

  • Experience with GPU computing.
  • Hands-on experience in AI, applied machine learning, deep learning, scientific computing, or high-performance computing.
  • A track record of applying AI to a part of the quantum computing stack.

NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems, including advancing the state of Quantum Information Science. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft an environment where we can do our life’s best work. If you’re creative, autonomous, and highly motivated, we want to hear from you!