We are looking for a DPU Power Modeling & U-arch Senior Engineer.
NVIDIA is known as a world leader in providing energy-efficient high-performance products and we continue to invest in the research and development of hyper-efficient SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Perf/Watt solutions in a wide range of sectors and verticals. Come join NVIDIAs Applied Power team to develop state of the art DPU products.
What you'll be doing:
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Lead Power Modeling & analysis of cutting-edge DPU technologies.
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You will be contributing to power estimation models and tools for DPU products.
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Work on Performance vs Power Analysis for Nvidia DPU products lineup.
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Lead a micro-architecture of power management features.
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Understand the workload characteristics for DPU workloads at System Scale to drive new HW/SW features for Perf@Watt improvements.
What we need to see:
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BSc/MSc in EE or related fields with 8+ years of experience.
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Strong understanding of concepts of energy consumption, estimation, data movement and low power design.
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Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect).
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Knowledge of BE flows In the field of power - a significant advantage.
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Good and interpersonal skills; much collaboration with design teams is expected.
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Strong coding/automation skills, preferably in Python and Perl.
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Desire to bring data-driven decision-making and analytics to improve our products.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!
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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.”
