Nvidia Architecture Energy Modeling Engineer - New College Grad 

China, Shanghai 

52592200

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:

• Graduating with a MS degree

• 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.