WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible.
For more information, please visit: http://www.weride.ai
Job Overview:
As a GPU AI/HPC Expert Engineer, you will provide professional support in the design and implementation of cutting-edge GPU computing to address issues related to deep learning, high-performance computing, and computationally intensive workloads, focusing on optimizing capacity management and allocation within GPU computing clusters.
Locations:
Singapore
Guangzhou, Guangdong, China
Shenzhen, Guangdong, China
Responsibilities:
- Performance Analysis and Optimization:Conduct in-depth analysis of GPU applications to identify and resolve performance bottlenecks, focusing on memory access patterns, thread scheduling, and execution efficiency.
- Algorithm Development: Develop efficient GPU-accelerated algorithms using parallel computing frameworks such as CUDA or DirectX to enhance the processing capabilities of computationally intensive tasks.
- Provide technical guidance and training to the team, sharing best practices and optimization techniques in GPU programming.
- Keep abreast of GPU technology and industry trends, evaluating and integrating new technologies to improve system performance.
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- At least 5 years of experience in GPU programming and performance optimization, familiar with CUDA or DirectX development.
- Proficient in C/C++, with in-depth knowledge of computer architecture and parallel computing principles.
- Proficient in using GPU performance analysis and debugging tools, with actual performance optimization achievements.
- Rich experience in performance analysis and tuning of AI/HPC workloads.
- Candidates with practical experience in GPU optimization in fields such as deep learning, computer vision, and scientific computing are preferred.
Plus
- Experience in advanced research or development in the field of High-Performance Computing (HPC) or related areas.
- In-depth understanding of GPU optimization in machine learning frameworks such as TensorFlow or PyTorch.
- Practical experience in deploying and optimizing AI models using Orin and Thor platforms, as well as in developing algorithms related to autonomous driving.
- Practical experience in NVIDIA GPU and CUDA programming.
More about WeRide:
Website: https://www.weride.ai/
Youtube: https://www.youtube.com/@WeRideAI
LinkedIn: https://www.linkedin.com/company/werideai/
Twitter: https://twitter.com/weride_ai
Top Skills
What We Do
WeRide is a global leading company that develops Level 4 autonomous driving technologies, bringing smart cities with new products, new business model and new experience.
WeRide has received strategic investments from top-tier global automakers, including Renault-Nissan-Mitsubishi Alliance and Yutong Group. WeRide is the first startup in the world that holds driverless test permits in both China and the US.
Through strategic alliances with car makers, mobility and logistics service platforms, WeRide offers an all-rounded product mix of Robotaxi, Mini Robobus and Robovan to provide multiple services including online ride-hailing, on-demand transport and urban logistics.
WeRide launched China’s first Robotaxi service, completely open to public, in November 2019, in Guangzhou, China, covering an area of 144 square kilometers. WeRide has also conducted commercial pilot operations and fully driverless testing for Mini Robobus and Robovan.
Established in 2017, WeRide is headquartered in Guangzhou, China, and maintains R&D and operation centers in Beijing, Shanghai, Shenzhen, Nanjing, Wuhan, Zhengzhou and Anqing, as well as San Jose in the US. It employs a highly skilled team of over 800 employees around the globe and has extensive domestic and international experience in R&D, business development and operations.
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