Senior GPU Optimization Engineer
15000 CNY~20000 CNY/Per month
Full-time
5~10 years
Refresh at 2 months ago
237 Views
42 Apply
Shanghai
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Job responsibilities
- Performance Analysis & Optimization: Deeply analyze and optimize GPU applications to identify and eliminate performance bottlenecks, including memory access patterns, thread scheduling, and execution efficiency.
- Algorithm development: Develop and implement efficient GPU-accelerated algorithms using parallel computing frameworks such as CUDA or DirectX to improve the processing speed of compute-intensive tasks.
- Provide technical guidance and training to the team, sharing best practices and optimization tips for GPU programming.
- Continuously monitor GPU technology and industry trends, evaluate and integrate new technologies to improve system performance.
Job Requirements
- Bachelor's or Master's degree or above in Computer Science, Electronic Engineering, or related field.
- At least 5 years of experience in GPU programming and performance optimization, with a strong background in CUDA or DirectX development.
- Proficient in C/C++ programming with in-depth knowledge of computer architecture and parallel computing principles.
- Proficient in the use of GPU performance analysis and debugging tools, with actual performance optimization cases and results.
- Experience analyzing and tuning the performance of various AI/HPC workloads.
Bonus points:
- Relevant research experience in the field of high-performance computing (HPC).
- In-depth GPU optimization experience with machine learning frameworks such as TensorFlow or PyTorch.
- Hands-on experience using Orin or Xavier platforms for AI model deployment and optimization, as well as developing algorithms related to autonomous driving.
- Experience with NVIDIA GPU and CUDA programming.
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