GPU Performance Profiling Engineer

NVIDIA Ltd.
Austin, TX, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$152,000.0 - $241,500.0
Working hours
Regular working hours
Job source

Tech stack

C (Programming Language) C++ (Programming Language) Profiling Nvidia CUDA Computer Programming Programming Tools Device Drivers Microprocessors Scripting Graphics Processing Unit (GPU) High Performance Computing Deep Learning
+4 more
Gpu Programming Fastapi Performance Monitor Software Library

Job description

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.

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.

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.

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.

Benefits & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

About the company

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working individuals in the world working for us. If you are creative and autonomous, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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