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Nvidia Principal Classical Prediction Engineer – Autonomous Vehicles 
China, Shanghai 
728049561

24.06.2024

in mass productization and algorithmic optimization will be crucial in advancing our automotive products to the next level.

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 forlarge and complex systems.

  • Solid understanding ofthe classicalplanning 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:

definitely wantto 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 tooptimizealgorithms for computational efficiency.

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

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