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NVIDIA

Designs the chips and software that power AI

GPU Performance Profiling Engineer

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A B.S. in Electrical Engineering or Computer Science with 4+ years of experience, an M.S. with 2+ years of experience, or a 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, such as x86, ARM CPUs, or GPUs.
  • Solid understanding of hardware pipeline concepts and willingness to work at a detailed implementation level.
  • Knowledge of performance analysis concepts, particularly for GPU applications.
  • Proficiency in hardware-software co-design principles and practices.

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 developer tools quality and reduce time and cost to market.
  • Refine data collection with NVIDIA's GPU Architecture and Developer Technology teams.

Desired Qualifications

  • 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 professional visualization.
  • In-depth experience with profiler tools including CPU, GPU, and networking, as well as experience in device driver development.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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