Quantum Research Scientist

1 Month ago • 3 Years + • Research & Development • $176,000 PA - $307,000 PA

Job Summary

Job Description

NVIDIA's Quantum Research team seeks a Quantum Research Scientist to contribute to the development of novel approaches for integrating NVIDIA's multi-GPU architectures with quantum computers. This role involves developing AI-driven quantum algorithms, exploring applications in classical and quantum computing, and presenting research findings at conferences. The successful candidate will possess a PhD in a relevant field, 3+ years of experience in quantum computing, and expertise in quantum chemistry, quantum machine learning, or applied quantum algorithms. Strong communication skills are essential.
Must have:
  • PhD in Physics/CS/related field
  • 3+ years Quantum Computing experience
  • Expertise in Quantum Chemistry/ML/Algorithms
  • Excellent communication skills
Good to have:
  • GPU computing experience
  • Software development experience
  • Scientific/High-performance computing experience
  • Applied ML/Deep learning experience
Perks:
  • Equity
  • Benefits

Job Details

We are now looking for a Quantum Research Scientist!

 

NVIDIA’s Quantum Research team is seeking a Quantum Research Scientist to work in our newly-formed Quantum Research team. The Quantum Research team explores novel approaches to integrate world-class NVIDIA multi GPU architectures with state-of-the-art and near-term quantum computers. Our team also explores the connections of AI with many-body models such as quantum chemistry.  The Quantum Research Scientist will help develop quantum algorithms at the interface of artificial intelligence and many-body physics models. They will also develop applications of these models to both classical and quantum computers.

What You'll Be Doing:

  • Advance the state-of-the-art of AI-driven quantum algorithms

  • Explore and develop  fundamental and applied quantum algorithms

  • Present at relevant scientific, technical and industry conferences.

What We Need To See: 

  • A PhD Degree in Physics, Computer Science, Chemistry, Applied Mathematics, Engineering,  or related engineering field (or equivalent experience)

  • Background in Quantum Information Science with expertise in one of the following: quantum chemistry, quantum machine learning, or applied quantum algorithms.

  • 3+ years or work or research experience in Quantum Computing.

  • 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.

  • Experience in software systems development.

  • Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning.

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!

The base salary range is 232,500 CAD - 403,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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