Hsio Functional And Power Management Engineer

Details

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA’s High-Speed Interconnect (HSIC) team is seeking a versatile engineer to be part of a Silicon Hardware team. You will dive into next-gen high-speed interconnects like NVLink and NVLink-C2C to make advancements in efficiency and stability. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from artificial intelligence, consumer graphics, self-driving cars, and more.

Responsibilities

• Contribute to the design of the next generation of high-speed IOs, including NVLink and NVLink-C2C.
• Responsible for IO power optimizations and continuing to push energy efficiency.
• Ensure interoperability with connected devices and system components in complex interconnect topologies.
• Deep dive into technically complicated HSIO bugs and help drive debug efforts across various teams.
• Work closely and proactively with other engineering teams, such as system architects, mixed-signal and design, DGX, software/firmware, HW/SW QA, operations, and AE teams, to drive the design, development, debugging, and release of next-generation products.

Requirements

• BS or MS degree in EE/CE or equivalent experience.
• Minimum 12 years working in HSIO development, bringup planning, HSIO functional and electrical validation, and/or power optimization.
• Experience with HSIOs like PCIE or chip-to-chip interconnects, including understanding process/temp/voltage sensitivity on BER.
• Experience with identifying full chip data paths for HSIO saturation and working with applications to stress test for stability.
• Experience with system-level and interconnect power management optimizations.
• Understanding of firmware/driver structures and their interaction with HW.
• Strong EE fundamentals, knowledgeable in computer architecture, high-speed interfaces, timing analysis, process variations, statistical error rates, and power analysis.
• Effective in a collaborative environment.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you to join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

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