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  • The site is refreshed daily to remove out-of-date content.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 DevOps Engineer, Deep Learning Frameworks in Santa Clara, California

NVIDIA's Deep Learning Optimized Frameworks Group is looking for an excellent DevOps Engineer to enable the next wave of NVIDIA’s highest performing deep learning software stacks. Your role spans multiple products such as TensorFlow and PyTorch and is instrumental for streamlining development, build, and releases with modern DevOps tools. Join our technically hardworking team of software engineers and infrastructure authorities to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning frameworks.

What you'll be doing:

  • Automating and optimizing build, test, integrate, and release processes for optimized NVIDIA Deep Learning Frameworks

  • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Gitlab, Jenkins, Docker, LXC, HyperV, CMake, Bazel)

  • Developing shared utilities for setting up systems, running tests, and recording results

  • Lead best-practices for building, testing, and releasing software

  • Identifying infrastructure needs and translating them into action

What we need to see:

  • BS or higher degree in computer science (or equivalent experience)

  • 5+ years of relevant experience

  • Strong experience setting up, maintaining, and automating continuous integration systems

  • Fluency in SCM (e.g. Github, Gitlab, Git) and build systems (e.g. Make, CMake, Bazel, Docker)

  • Adept programming skills in Python (or Perl, Shell scripting, like bash, tcsh, sh )

  • Pragmatic approach to solving problems and collaboration

  • Real passion for “it just works” automation and enabling team members

Ways to stand out from the crowd:

  • Experience with CUDA and Deep Learning Software Stack

  • Good knowledge of container and cluster technologies like slurm, kubernetes, jenkins, gitlab-ci, and zabbix

  • Experience with GPU computing systems

  • Track record of identifying useful new technologies and incorporating them into SW development flows

  • Experience as an active contributor to a SW project involving many developers

With highly competitive salaries and a comprehensive benefits package, 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 on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

The base salary range is 148,000 USD - 276,000 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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