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.

• 4+ 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.

• Experience with GPGPU programming (CUDA)

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!

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