Senior Software Engineer- Windows for ARM and TEGRA

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Software Engineer will develop and support NVIDIA's GPU administration tools, focusing on system and device monitoring for NVIDIA Tegra platforms. Responsibilities include coding and maintaining software for Compute GPU products on Windows and Linux, collaborating with cross-functional teams, and driving development efforts for new features and improvements.
Summary Generated by Built In

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'llbedoing:  

  • 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. 

Whatweneedtosee:  

  • 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 

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C
C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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