System Software Engineer, GPU Server Diagnostics

1 Month ago • Upto 1 Years • Research & Development

Job Summary

Job Description

NVIDIA seeks software engineers to develop and validate next-generation GPU and high-performance computing server products. Responsibilities include creating stress-test applications, crafting software tools and infrastructure for chip development, assessing new hardware features, and architecting manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. Close collaboration with architecture, hardware, and driver teams throughout the product lifecycle is required. The ideal candidate possesses strong C++, Python, and OS fundamentals, a deep understanding of PC/hardware architecture and graphics concepts, and excellent communication skills.
Must have:
  • Strong C/C++ and Python skills
  • Solid OS fundamentals
  • Deep understanding of PC/hardware architecture
  • Knowledge of graphics concepts and algorithms
  • Excellent communication skills
Good to have:
  • Experience with PCIe, NVLink, Infiniband, or Ethernet
  • Experience with large system software codebases
Perks:
  • Competitive salary
  • Generous benefits package

Job Details

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ and python programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors.

 

What you'll be doing:

  • Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products.

  • Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.

  • You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.

What we need to see:

  • BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience

  • Strong C/C++ and python programming skills

  • Familiarity with PC architecture, and ability to work close to the hardware

  • Background with PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus

  • Previous experience of working on a large system software code base is preferable

  • Very strong problem solving and debugging skills

  • Ability to self-manage, show leadership, and have good interpersonal skills

 

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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