Deep Learning Software Engineering Intern, Test Development

3 Weeks ago • Upto 1 Years • Quality Assurance

Job Summary

Job Description

NVIDIA's Deep Learning Software Quality Assurance team seeks a Deep Learning Software Test Development Engineering Intern. Responsibilities include GPU software testing and test automation improvement for products like cuDNN and TensorRT. The intern will work with development teams on issue triage, root cause analysis, and test plan improvement. They will also utilize AI-powered tools to enhance efficiency and quality. This internship requires scripting (Python, Perl, Bash), Linux knowledge, and strong communication skills. Familiarity with C/C++, deep learning frameworks, and NVIDIA GPUs is a plus.
Must have:
  • BS/higher degree in CS/EE/CE
  • Scripting (Python, Perl, Bash)
  • Linux knowledge
  • Good communication skills
  • GPU Software testing
Good to have:
  • C/C++ programming
  • Deep Learning Framework familiarity
  • Experience with AI tools
  • NVIDIA GPU hardware familiarity
  • NVIDIA GPU Computing (CUDA)

Job Details

We are now looking for a Deep Learning Software Test Development Engineering Intern.

The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world!

What you’ll be doing:

  • GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as cuDNN, TensorRT, NVIDIA optimized Frameworks (E.g. TensorFlow, PyTorch, MxNET, etc.)

  • Be responsible for functionality, compatibility, and performance tests in DL SW stack release.

  • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans. 

  • Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.   

What we need to see: 

  • Pursuing BS or higher degree in CS/EE/CE.

  • Scripting language (Python, Perl, bash), Linux knowledge is required.

  • Experiences in C/C++ programming is a plus.

  • Familiarity any Deep Learning Framework is a strong plus.

  • Good communication skills, fluent oral and written English.

  • Experience with AI tools. 

Ways to stand out from the crowd:

  • Familiarity working with NVIDIA GPU hardware is a strong plus.

  • Background with NVIDIA GPU Computing (CUDA) is a strong plus.

  • Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.

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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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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