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Nvidia Senior Architecture Energy Modeling Engineer 
United States, California 
880486420

24.06.2024

What you'll be doing:

  • Work with architects, designers, and performance engineers to develop an energy-efficient GPU.

  • Identify key design features and workloads for building Machine Learning based unit power/energy models.

  • Develop and own methodologies and workflows to train models using ML and/or statistical techniques.

  • Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.

  • Develop methodologies to estimate data movement power/energy accurately.

  • Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.

  • Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.

  • Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.

  • Prototype new architectural features, build an energy model for those new features, and analyze the system impact.

  • Identify, suggest, and/or participate in studies for improving GPU perf/watt.

What we need to see:

  • MS (or equivalent experience) with proven experience or PhD in related fields.

  • 3+ years of experience.

  • Strong coding skills, preferably in Python, C++.

  • Background in machine learning, AI, and/or statistical modeling.

  • Background in computer architecture and interest in energy-efficient GPU designs.

  • Familiarity with Verilog and ASIC design principles is a plus.

  • Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.

  • Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.

  • Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.

  • Good verbal/written communication and interpersonal skills.

You will also be eligible for equity and .