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NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have many of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! This job is responsible for NVIDIA Enterprise Product server firmware and software quality. You will work closely with internal software development to come out good test infrastructure and develop test tools. Who would like challenge job? Who want to learn most popular AI framework? The job will give you the best challenge and achieve next career level.
What you'll be doing:
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Develop automation test infrastructure-based data center
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Strong ability to work independently, given requirements
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Strong Linux development and debugging experience
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Work closely with DGX software engineer to develop FW/BaseOS feature testing
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Demonstrable comprehension of Information Security, including malware, emerging threats, attacks, and vulnerability management
What we need to see:
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Master’s degree in computer science or electrical engineering (or equivalent experience)
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Strong Python/C++ programming skills
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Familiar with Jenkins tool
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Excellent communication and organizational skills
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Excellent data analysis skills and the ability to troubleshoot complex issues involving multiple software/Hardware
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Good at English read/write/speak
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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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.”
