Nvidia Principal Classical Prediction Engineer – Autonomous Vehicles 

China, Shanghai 

728049561

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.