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英伟达Compute Architecture Software Engineer

社招全职地点:上海状态:招聘

任职要求


• 5+ working years' experience in software engineering, particularly in GPU programming and LLM inference.
• Strong proficiency in programming languages such as Python, C++, and CUDA.
• A solid understanding of deep learning frameworks and techniques.
• Outstanding problem-solving skills and the ability to work collaboratively in a team setting.
• Ambitious approach with a proven track record of taking initiative and delivering results.
• BS or above degree in Computer Science, Engineering, or a related field, or equivalent experience.
Widely considered to be one of the technology world’s most desirable emp…
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工作职责


• You will develop and optimize software solutions to accelerate LLM inference using GPU technology.
• Collaborate closely with a world-class team of engineers to implement and refine GPU-based algorithms.
• Analyze and determine the most effective methods to improve performance, ensuring seamless execution across diverse computing environments.
• Engage in both individual and team projects, contributing to NVIDIA's mission of leading the AI revolution.
• Work in an empowering and inclusive environment to successfully implement groundbreaking AI solutions.
包括英文材料
大模型+
Python+
还有更多 •••
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社招

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更新于 2025-09-17上海
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实习

We are now looking for a software engineer intern. The NVIDIA Developer Tools team is seeking a software engineer intern to join our effort to advance the state of graphics and compute performance analysis and tuning. You will help developers of groundbreaking products in Automotive, VR, Gaming, Deep Learning and High Performance Computing to analyze and improve the performance of their products. You will have the opportunity to learn the pipeline and driver stack of the world's most sophisticated GPUs, work with a group of talented engineers from all over the world, and apply your software development skills to improve our products. What you’ll be doing: • Develop algorithms to exercise various parts of the GPU pipeline to verify our performance metrics. • Deeply dive into NVIDIA GPU architecture and software stack, develop new feature for NVIDIA GPU performance profiling tools. • Write unit and integration tests to verify the functionality, performance, stability, resource usage of our products.

更新于 2025-11-03上海