Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Nvidia Deep Learning Performance Architect Intern in Shanghai, China

We are now looking for Compute/DL Architecture Performance Optimization Interns in our group! Are you passionate about exploring computer architectures for deep learning? Do you enjoy working at the intersection of hardware and software? NVIDIA is looking for world-class programmers and performance architects who like to continuously explore and mine the ultimate performance of each operator (or fusion operator) in deep learning networks, design and develop scalable modular infrastructure that can ship these highly optimized operators to different NVIDIA software libraries for training and inference.

What you'll be doing:

  • Analyze the performance of various machine learning/DL algorithms on existing/new architectures

  • Identify bottlenecks and propose creative solutions to improve them

  • Develop high performance operators on NVIDIA GPUs for cuBLAS, TensorRT, cuDNN, cuSparse and cuTensor libraries

  • Design and develop software for shipping and testing the GPU operators

  • Build scalable automation for testing, integration, and release processes for publicly distributed deep learning libraries

  • Configure, maintain, and build upon deployments of industry-standard tools (e.g., Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)

What we need to see:

  • Pursuing a B.S., M.S., or PhD degree in computer science (or similar)

  • Strong programming skills in C/C++ development

  • Familiar with GPU programming model and CUDA

  • Good understanding about AI compilation technologies and experience with MLIR, TVM development

  • Excellent problem solving skills, good communication and teamwork

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is a Learning Machine

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA .

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