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Quantum Computing Software Intern

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NVIDIA

Oct 5, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • United States
    Remote

Requirements

  • Currently studying towards a M.S. or Ph.D. degree in Computer Science, Applied Math, Physics, or other related science or engineering field.
  • Experience with quantum algorithms, programming systems, or hybrid classical/quantum computations.
  • Strong software development skills with C++ and Python.
  • Strong fundamentals in algorithms and numerical methods, particularly linear algebra.
  • Good collaboration, communication, and documentation skills.
  • Ways to stand out from the crowd:
  • Experience with Tensor Networks or State Vector methods for Quantum Circuit Simulations.
  • Parallel programming experience using multi-threading or MPI.
  • GPU programming experience (CUDA or OpenCL).

Responsibilities

  • Assist with software engineering activities around proof-of-concept development of creative and innovative algorithms.
  • Collaborate with team members and other engineers from other teams to understand software use cases and requirements.
  • Help productize new functionality through design, development, debugging, testing, and documentation under the mentorship of senior engineers in your team.
  • Analyze the performance of GPU or CPU implementations and find opportunities for algorithmic or implementations improvements.
  • Present your results and findings throughout your internship.

Manufacturing & Electronics
Industry
10,001+
Employees
1993
Founded Year

Mission & Purpose

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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