NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for decades. Today, we are increasingly known as "the AI computing company" — with the GPU deep learning ignited modern AI, acting as the brain of computers, robots, and self-driving cars etc. We are hiring System Software Engineer who will help build outstanding simulators for GPU and SOC products. Simulations play a meaningful role in building scalable systems at Speed of Light! You will work with world class engineering teams across HW and SW to build scalable simulation platforms for SW development not only in pre-silicon stage but even after the HW platforms are available.
What you'll be doing:
Drive requirements, architecture, and roadmap of best-in-class GPU & SoC Simulation Platforms.
Build & enhance simulator with new SOC features, improve simulation performance, fix bugs across user and kernel stacks & automate system for regressions testing.
To bringup full SW stack on SoC Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally.
What we need to see:
BE degree or higher (Computer science or equivalent experience).
5+ years of relevant experience.
Proficient in C / C++ programming with strong user & kernel mode debugging skills in multi-threaded environment.
Clear understanding of OS fundamentals, computer system architecture and lowlevel interfaces such as buses, controllers, interrupts etc.
Working experience on both Linux & Windows environment. (Programming, debugging, modular make/build system etc.)
Strong articulation skills for crafting and improving technical documents and to engage globally distributed engineering team.
Ways to stand out from the crowd:
Experience in virtualization, hypervisors & building HW simulators, like in Qemu, KVM, VDK, SIMICs etc.
Experience in HW & SW stack bringup using Simulators & Emulators etc.
Understanding of the Windows OS internals, kernel mode debugging & Driver Model (WDM/WDDM/MCDM etc).
Familiarity with hardware interfaces such as DDR4/5, PCIe, SPI, or I2C and with Linux Boot or Core Boot solutions on ARM class platforms.
NVIDIA is committed to cultivating 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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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