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.

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What you’ll be doing:

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• 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.
• Participate in various initiatives to improve efficiency, robustness and user friendliness of the software we deliver for design validation, thermal & power characterization, manufacturing screening.
• Work on new diagnostic software solutions that cater to all phases of the product life cycle - bring up, manufacturing, hardware qualification, failure analysis and custom platforms.
• Communicate optimally with various teams throughout the company, as well as customers and partners.

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What we need to see:

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• BS/MS in EE/CS or equivalent experience.
• 2+ 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.

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Ways to stand out from the crowd:

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• 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

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