GPU Performance Profiling Engineer

NVIDIA•Austin, TX

1d•$152,000 - $287,500

About The Position

At NVIDIA, we build groundbreaking products for the following sectors: Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capability of NVIDIA hardware, drivers, and SDKs to support current and future generations of GPUs and SoCs. Help inventors around the world who will depend on the creative products that you worked on to better utilize our GPU hardware to its maximum potential in their applications. Join the team that brings new technologies to market. You will have a direct impact on the performance profiling tools that our team provides based on next generation hardware which you help to define.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.