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Nvidia Architecture Energy Modeling Engineer 
China, Shanghai 
398230639

18.08.2024

What you’ll be doing:

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

  • Develop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques.

  • Develop methodologies to improve the accuracy of energy models under various constraints, such as, process, timing, floorplan and layout.

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

  • Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL and architectural simulators. Work with architects to fix the identified energy inefficiencies.

  • Work with performance, verification and emulation methodology and infrastructure development teams to integrate energy models into their platforms.

  • Prototype new architectural features, create an energy model, and analyze the system impact.

What we need to see:

  • MS degree with 1+ year experience in related fields or equivalent experience

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

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

  • Interest in computer architecture and 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.

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

  • Good verbal/written English and interpersonal skills.