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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
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