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  • The site is refreshed daily to remove out-of-date content.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 Principal Classical Prediction Engineer – Autonomous Vehicles in Shanghai, China

We are looking for a dedicated and meticulous classical prediction engineer to join our autonomous driving team. In this role, you will focus on the development and implementation of classical prediction algorithms, such as numerical optimization and traditional algorithms, to enhance the safety and efficiency of our autonomous vehicle systems. Your expertise in mass productization and algorithmic optimization will be crucial in advancing our automotive products to the next level.

What you'll be doing:

  • Develop and implement classical prediction algorithms for various scenarios of autonomous driving.

  • Collaborate with the machine learning team to integrate classical prediction methods with deep learning models.

  • Conduct rigorous testing and validation of prediction algorithms against diverse datasets and in simulated environments.

  • You will design, run, and analyze experiments to evaluate the efficiency of our solutions on real-world data.

    What we need to see:

  • BS or MS in Engineering, Computer Science, Mathematics, or a related field with a focus on numerical optimization, algorithm design, or a similar area.

  • 12 + years of experience in developing and implementing classical prediction algorithms in the real-world for mass productization.

  • Excellent understanding of data structure, multi-thread programming, Linux programming, and C++ programming.

  • Solid software engineering experience, developing for large and complex systems.

  • Solid understanding of the classical planning algorithms, numerical optimization techniques, and their application in autonomous systems.

  • Self-motivation combined with team spirit and the urge to learn new things and tackle hard problems.

    Ways to stand out from the crowd:

    We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

  • Experience with the productization of technology, especially in the automotive or robotics industries.

  • Familiarity with real-time system constraints and the ability to optimize algorithms for computational efficiency.

  • Contributions to open-source projects or publications in relevant peer-reviewed journals or conferences.

    Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the drive with revolutionary hardware and software. Come join us at NVIDIA!

    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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