System Software Engineer, GPU - New College Graduate

Reposted Yesterday
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Taipei City, TWN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and verify GPU kernel drivers and embedded software for next-gen GPU chips. Lead modeling/simulation, track roadmaps, document technical decisions, and collaborate across hardware and software teams to deliver across NV platforms.
Summary Generated by Built In

NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers and embedded SW. You should demonstrate the ability to excel in an environment with complex software and hardware designs. 

What you'll be doing: 

  • Leading the design, developing, and verifying bleeding edge technology into our next-gen GPU chips, such as Rubin/Feynman; collaborating to various degree with different teams, such as HW Arch/System engineers, SW fellow engineers, etc. 

  • Be heavily involved with the early modeling and simulation required to produce our world-class GPU chips. 

  • Follow the GPU devices all the way through the development process to all of NV’s platforms, such as data centers, desktops, notebooks, workstations, and gaming console products that are used throughout the world. 

  • Own roadmap tracking, document technology and strategy changes, and rationale for decisions and drive alignment across teams across the globe. 

  • Provide helps and recommendations or feedback to teams regarding decisions surrounding topics such as high-quality, infrastructure, continuous integration, and testing strategy. 

 

What we need to see: 

  • BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience. 

  • Excellent C programming, C++, and low-level driver experience as well as having shown initiative in pursuing independent coding projects. 

  • Familiarity with computer system architecture, microprocessor, microcontroller fundamentals (caches, buses, memory controllers, DMA, embedded system, RISCV, RTOS, etc) and kernel experience (Linux, Android, Chrome, or Windows). 

  • Outstanding technical skills in designing and implementing high-quality complex system is invaluable. 

  • Excellent communication skills and the ability to lead multi-functional efforts. 

 

Ways to stand out from the crowd: 

  • Background and strength with complex AI or GPU computing system architecture successful design is invaluable. 

  • Familiarity with Open systems, Kernel level security concepts, or Enterprise level security domain.  

  • Validated leadership and communication skills with multi-functional teams across organizational boundaries and geographies 

 

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you!  

 

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. 

Top Skills

Android
C
C++
Chrome
Continuous Integration
Dma
Embedded Systems
Gpu
Kernel Drivers
Linux
Modeling
Risc-V
Rtos
Simulation
Windows
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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