This job offer is unpublished.

GPU Model Optimization Engineer

> 5 years of experience
Permanent contract
AI Engineer
Deep learning
Machine Learning
Management

WeRide: GPU AI/HPC Expert Engineer ๐Ÿš—๐Ÿ’จ

WeRide, a leading global company in autonomous driving technologies, is seeking a GPU AI/HPC Expert Engineer to join our team! ๐Ÿš€

Job Overview:
As a GPU AI/HPC Expert Engineer, you'll provide professional support in designing and implementing cutting-edge GPU computing solutions. Your focus will be on optimizing capacity management and allocation within GPU computing clusters to address issues related to deep learning, high-performance computing, and computationally intensive workloads. ๐Ÿ’ป

Locations:

  • Singapore
  • Guangzhou, Guangdong, China
  • Shenzhen, Guangdong, China

Responsibilities:

  • ๐Ÿ”Ž Performance Analysis and Optimization: Conduct in-depth analysis of GPU applications to identify and resolve performance bottlenecks. Focus on memory access patterns, thread scheduling, and execution efficiency.
  • ๐Ÿ’ก Algorithm Development: Develop efficient GPU-accelerated algorithms using parallel computing frameworks like CUDA or DirectX to enhance processing capabilities for computationally intensive tasks.
  • ๐Ÿ‘จโ€๐Ÿซ Knowledge Sharing: Provide technical guidance and training to the team, sharing best practices and optimization techniques in GPU programming.
  • ๐Ÿ“ˆ Stay Updated: Keep abreast of GPU technology and industry trends. Evaluate and integrate new technologies to improve system performance.

Requirements:

  • ๐ŸŽ“ Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • ๐Ÿ’ผ At least 5 years of experience in GPU programming and performance optimization, with familiarity in CUDA or DirectX development.
  • ๐Ÿ’ป Proficient in C/C++, with in-depth knowledge of computer architecture and parallel computing principles.
  • ๐Ÿ› ๏ธ Proficient in using GPU performance analysis and debugging tools, with proven performance optimization achievements.
  • ๐Ÿ“Š Rich experience in performance analysis and tuning of AI/HPC workloads.
  • ๐Ÿค– Candidates with practical experience in GPU optimization in fields like deep learning, computer vision, and scientific computing are preferred.

Plus:

  • ๐Ÿ”ฌ Experience in advanced research or development in High-Performance Computing (HPC) or related areas.
  • ๐Ÿง  In-depth understanding of GPU optimization in machine learning frameworks like TensorFlow or PyTorch.
  • ๐Ÿš— Practical experience in deploying and optimizing AI models using Orin and Thor platforms, as well as developing algorithms related to autonomous driving.
  • NVIDIA GPU and CUDA programming experience.

More about WeRide:

Reference :weride+WeRideai-GPU-Model-Optimization-Engineer

Skills

Data
Deep learning
Machine Learning
Pytorch
TensorFlow
Project Management
Management