NVIDIA is seeking a passionate, highly motivated, and creative software engineer to be part of its CPU Infrastructure team. We develop methodologies and craft tools to streamline the design/verification of NVIDIA's CPU and SOC designs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have created a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Come, join us today!
What you’ll be doing:
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Set up scalable verification flows for large IP’s that caters to multiple projects and variants.
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Improve continuous integration processes across multiple branches for various IP versions and projects.
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Continuous improvement of the speed of build and simulation flows.
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Set up automated metrics and dashboards to monitor health of the infrastructure flows and resources.
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Set up processes to identify suboptimal areas, and help in improving verification efficiency for the large team of HW engineers.
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Remove inefficiency wherever you can find it!
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Architect and develop tools, user interfaces, and reports for chip development, data visualization, resource management, etc.
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Analyze performance bottlenecks, improve data analytics and visualizations of day to day workflows
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Debug interesting, complex, and important problems that impact the team
What we need to see:
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B.Tech./ M.Tech or equivalent experience with 2+ years of relevant experience
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Experience with Linux shell scripting, Makeppfiles, and Perl/Python or equivalent
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Background with ASIC EDA tool flows, simulators, waveform debug tools, and equivalent
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Experience with LSF, compute farms, filers, and networks
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Experience with setup, configuration, and maintenance of Jenkins build servers
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Background with Web development (HTML/JavaScript/REST) and databases
Ways to stand out from the crowd:
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A desire to constantly grow and learn new things. In this team you will constantly be exposed to new technologies and new problems. Your ability to assimilate new ideas and handle tough problems as they arise will be the key to your success.
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Exposure to RTL design/verification tools (VCS or equivalent simulation tools, debug tools like Verdi) and computer architecture
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Exposure to source control systems (Perforce/Git) and continuous integration systems (Jenkins)
NVIDIA is widely considered to be one of the technology world’s most desirable employers. 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.
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.”
