NVIDIA is searching for outstanding software engineers to join the CUDA driver team. We develop and support NVIDIA's GPU administration tools for monitoring and orchestrating our Compute GPU product line-up. The NVIDIA Data Center product line-up scales from single GPU add-in cards to full system DGX products, all built on developing technologies like PCI Express, NVLink, and NVSwitch. This work includes design, development, verification, and maintenance of new software features that monitor and run the Compute product line-up on Windows and Linux Operating Systems. In this role, you will work with hardware and kernel driver engineers on exposing new GPU features to customers and system administrators.
What you'll be doing:
Work on System and Device Monitoring/Management Tools for our Compute Professional Solutions products specifically targeting NVIDIA Tegra platforms.
Leverage the C-based NVML (NVIDIA Management Library) API, NVIDIA-SMI (NVIDIA System Management Interface) and C++ Device Monitoring libraries and tools!
Effectively write maintainable and well-tested code as well as develop code for multiple operating systems.
Coordinate and drive development efforts across multiple teams defining forward-looking improvements.
Develop and maintain software features targeted at enabling and supporting NVIDIA GPU hardware.
Focus on developing code targeting the Microsoft Windows OS.
Support new hardware architectures for both pre-silicon and post-silicon.
Work closely with other internal worldwide teams (software, hardware, architecture, OEM support).
Collaborate with customers understanding needs, defining feature requirements, and communicating new features and solutions.
What we need to see:
B.S. or M.S. in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).
5+ years of "hands on" experience developing or maintaining user space library and tools.
Extensive experience with programming in the Windows OS environment. Strong Windows debugging skills are a must!
Deep knowledge of Windows operating system and software interfaces.
Excellent programming skills in C, C++ and Python.
Experience with kernel device drivers, kernel development, debugging or working with low-level HW/SW Interface
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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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