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What you'll be doing:
Analyze hardware/software feature sets for next generation GPU and SoC performance tools.
Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.
Collaborate with developer tools engineers, software library developers, and GPU architects on new features.
Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market.
Refine data collection with NVIDIA's GPU Architecture and Developer Technology teams.
What we need to see:
B.S. EE/CS (or equivalent experience) with 4+ years of experience or MS with 2+ years' experience, or Ph.D.
Demonstrated expertise in the software stack, encompassing C/C++/Python applications and both user-mode and kernel-mode drivers.
Proven knowledge of CPU and/or GPU architecture (e.g.: x86, ARM CPUs, GPUs).
Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.
Knowledge of performance analysis concepts, particularly of GPU applications.
Proficiency in hardware-software co-design principles and practices.
Ways to stand out from the crowd:
Strong programming ability in C, C++, and scripting languages.
Strong background in performance analysis tools and performance monitor hardware.
Experience in CUDA or GPU programming models.
Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.
In-depth experience with profiler tools including CPU, GPU, and networking as well as experience in device driver development.
You will also be eligible for equity and .
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