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  • The site is refreshed daily to remove out-of-date content.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.

Job Information

Nvidia Senior Research Scientist, Design Automation in Austin, Texas

We are now looking for a Research Scientist in Design Automation! NVIDIA Research is seeking leading researchers in the areas of VLSI electronic design automation (EDA) to contribute to the development of future high-performance and mobile computing systems. You should have a strong track record of research excellence; systems-building experience; a broad perspective across areas including EDA algorithms and software, machine learning, and VLSI chip design methodology. Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning and GPU acceleration to EDA algorithms.

What you’ll be doing:

  • Apply machine learning and GPU acceleration to EDA software and ASIC and VLSI design tool flows.

  • Research and develop creative and innovative EDA software and algorithms.

  • Collaborate with circuits, VLSI, and architecture team members in research and product teams.

  • Publish and present your original research, speak at conferences and events

  • Collaborate with external researchers and a diverse set of internal product teams.

What we need to see:

  • Ph.D in Electrical Engineering or related with a strong research record, well referenced publications and / or patents (or equivalent experience). 3+ years of relevant research experience in academia or industrial labs.

  • You should display a strong background in EDA algorithms and software development, machine learning, along with knowledge of VLSI, circuits, IC design, and/or computer micro-architecture fundamentals.

  • Experience with C, C++, Python, and scripting languages.

  • Background with commonly used machine learning frameworks (PyTorch, Tensorflow).

  • Experience with CUDA and GPU computing

  • Strong communication skills needed. Being a creative and dynamic presenter is a huge advantage.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. 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. Today, we are increasingly known as “the AI computing company.” Would you like to join us at the forefront of the AI revolution?

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and dedicated people in the world working for us. If you're creative, collaborative and love a challenge, we want to hear from you!

The base salary range is 180,000 USD - 345,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

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.

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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