We are now hiring a System Software Engineer to join the NVIDIA's System Software group focusing on Tegra Diagnostics. You will join a dynamic crew that builds and maintains software for complex heterogeneous computing systems that power sophisticated server/auto/embedded products used in ground breaking of diverse AI, HPC, and accelerated computing workloads. We have some of the best engineers in the world conceptualizing and taking these products to the finish line and these outstanding engineering teams are rapidly growing. If you're a creative software engineer with a real passion for developing products with new technology, we want to hear from you.
What you’ll be doing:
Develop drivers/tests and frameworks that can most efficiently stress the SOC/System and to see them through the full software development lifecycle. This can include working in user-space, kernel, firmware or boot software of SOC.
Participating in overall system architecture analysis and collaborate with internal software teams and define/design use cases that can push the SOC/system to hit limits of power, noise patterns and bandwidth metrics
Spearhead various initiatives to improve efficiency, robustness and user friendliness of the software we deliver for design validation, thermal & power characterization, manufacturing screening, and external customers bring up.
Understand and participate in the debug /root cause analysis of very complex data center module/rack level failures. Recommend remediations and drive SW architecture improvements when applicable.
Communicate optimally with various teams throughout the company, as well as customers and partners.
What we need to see:
BS/MS in EE/CS or equivalent experience.
8+ years of experience
Strong C/C++ programming skills and object-oriented programming skills.
Experience with low level / driver level programming.
Understanding of processor architecture fundamentals, preferably arm.
Strong problem-solving and debugging skills.
Strong communication, interpersonal and planning skills.
Ways to stand out from the crowd:
Knowledge of Linux kernel internals.
Knowledge of Server / PC system architecture.
Experience in Pre-Silicon / Post-Silicon bringup planning and execution of complex SoCs and platforms
Consistent record of learning new technologies on the job in a time-bound manner.
Experience working in teams on large SW project
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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
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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