Senior System Software Engineer, NPI Data Center Diagnostics

NVIDIA•Santa Clara, CA
•$152,000 - $287,500

About The Position

NVIDIA is seeking software engineers to develop applications that stress-test next-generation graphics and computing products throughout their life cycle. The role applies operating systems knowledge, algorithms, computer architecture, and systems software expertise to create robust and efficient solutions for validating and testing next-generation processors. The engineer will work across the development lifecycle of computing and graphics processors and compute products, building tools and infrastructure for chip development, validation, and productization. The work includes assessing new hardware features and architecting manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.

Requirements

  • Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • Strong C/C++ or Python programming skills.
  • Familiarity with computer architecture and the ability to work close to the hardware.
  • At least 5 years of relevant experience.
  • Strong problem-solving and debugging skills.
  • Ability to self-manage, demonstrate leadership, and work effectively with others.
  • Strong interpersonal skills and dedication to meticulous engineering practices.
  • Detailed knowledge of graphics concepts and algorithms, a foundation in systems software with emphasis on operating systems fundamentals, and a deep understanding of current-generation hardware architecture at the systems level.

Nice To Haves

  • Background with PCIe, NVLink, or server technologies such as InfiniBand or Ethernet.
  • Previous experience working on a large system software code base.

Responsibilities

  • Work closely with architecture, hardware, and driver teams throughout the product development lifecycle of computing and graphics processors and compute products.
  • Develop software tools and infrastructure for new chip development, validation, and productization.
  • Assess new hardware features.
  • Architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.

Benefits

  • Equity
  • Benefits
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