Power Modeling Engineer

We are seeking a Power Modeling Engineer to join our Power Modeling, Methodology, and Analysis Team at NVIDIA. You will be responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Your contributions will help us gain early insight into the energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

Key responsibilities include:

• Developing techniques to model, analyze, and reduce the power consumption of NVIDIA GPUs
• Collaborating with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next-generation GPUs and Tegra SOCs
• Developing methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques
• Correlating the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon
• Developing tools to debug energy inefficiencies observed in various workloads run on silicon, RTL and architectural simulators
• Prototyping new architectural features, creating an energy model, and analyzing the system impact

Requirements:

• Pursuing 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