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  • The site is refreshed daily to remove out-of-date content.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 in Shanghai, China

NVIDIA is developing processor and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning system performance architect to join our AI performance projection and analysis efforts. In this position, you will have a chance to work on performance projection, analysis, and optimization on state-of-the-art hardware architectures for various AI workloads. You will make your contributions to our dynamic technology focused company.

What you'll be doing:

  • Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Automotive, Client (Desktop/Laptop) platforms and SoCs)

  • Identify performance bottlenecks and propose optimizations

What we need to see:

  • BS, MS or PhD in relevant discipline (CS, EE, Math, etc.) or equivalent experience.

  • 5+ years work experience.

  • Experience with popular AI models (e.g., LLM and AIGC models, Automotive DL models)

  • Be familiar with typical deep learning SW framework (e.g., Torch/JAX/TensorFlow/TensorRT)

  • Knowledge and experience on hardware architectures for deep learning applications

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! 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) on the basis of 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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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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