System Software Engineer Intern, AI Performance And Efficiency Tools - Summer 2026 job opportunity at NVIDIA.

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NVIDIA System Software Engineer Intern, AI Performance And Efficiency Tools - Summer 2026
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Pattern: full-time
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AI Performance And Efficiency Tools - Summer 2026

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degreeBachelor's (B.A.)
loacation China, Shanghai, China
loacation China, Shangha..........China

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. As a System Software Engineer Intern on our System Profiling team, you will develop and improve the key software and systems for perf & power verification/analysis activities that are done internally in high-impact chip and SW projects. Your work will bring the users intuitive, rich and accurate insight in how to optimize the workload, or how to improve the performance and power efficiency of NVIDIA products with outstanding tools. What you will be doing: Build internal profiling/analysis tools for real world application perf/power analysis at system from small to large scale. Build infrastructure or services for data visualization/mining and management. Work with our users to build their perf/power models on top of our tools for next generation HW design. What we need to see: Pursuing a Bachelor's or higher degree in Computer Science or Computer Engineering. Strong programming skills with Python and C++. Familiar at Linux kernel subsystems, eBPF, or computer networking and RDMA. Proven understanding of solving low level software and hardware problems. Ways to stand out from the crowd: Understands how distributed DL training / inference works. Strong knowledge of Windows/Linux OS internals and performance profiling tools. Hands-on experience with Linux kernel programming, eBPF tracing, or high-speed networking/RDMA frameworks. Experience in contributing to large open-source projects. Contributions to DL frameworks like PyTorch/JAX/TensorFlow is a huge plus. NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and dedicated people in the world. Are you passionate about joining our life work to amplify human creativity and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you.

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