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  • The site is refreshed daily to remove out-of-date content.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 Developer Technology Engineer - AI (RDSS Intern) in Taipei, Taiwan

We are looking for Developer Technology Engineer - AI (RDSS Intern) to join our team.

For more than two decades, NVIDIA has pioneered at the art and science of visual computing. With our invention of the GPU - the engine of modern parallel computing - the field has expanded to encompass gaming, professional visualization, data center and automobile. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. There has never been a more exciting time to join our team than now.

What you’ll be doing:

  • Study and develop data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

  • Work directly with key customers to understand the current and future problems they are solving.

  • Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

What we need to see:

  • MS/PhD degree from university in an engineering or computer science related discipline

  • Experience in parallel programming, ideally CUDA C/C++.

  • Strong knowledge of C/C++.

  • Knowledge in a specific domain is a plus, such as NLP and LLM.

  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, 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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