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NVIDIA

Designs the chips and software that power AI

GPU Profiling Software Engineer

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • A B.Tech. in Electrical Engineering or Computer Science, or equivalent, with 4 or more years of experience; alternatively, an M.Tech. with 2 or more years of experience, or a Ph.D.
  • Strong programming ability in C, C++, and Python, with proficiency in data structures and algorithms.
  • A solid understanding of computer architecture, including x86, ARM CPUs, and GPUs, and operating system concepts.
  • Knowledge of software design principles.

Responsibilities

  • Partner with multidisciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs.
  • Develop and improve methodologies for profiling data collection from GPUs.
  • Define, invent, and improve the GPU profiling library with new features that help NVIDIA customers optimize application performance.
  • Read and understand hardware specifications to design solutions based on them.
  • Create software unit-level tests and a framework to ensure product quality.
  • Support platforms ranging from supercomputers to embedded systems.

Desired Qualifications

  • Experience in device drivers or system software development.
  • Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, and Vulkan.
  • Prior experience authoring developer tools, particularly for GPUs.
  • Experience in performance analysis of GPU applications.
  • Ability to read and write assembly language, especially for multiprocessor architectures.

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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