As a member of the Architecture Energy Modeling Team at NVIDIA, you will work closely with various engineering teams to develop and implement energy modeling techniques for next-generation GPUs, CPUs, and Tegra SOCs. Your role will focus on understanding energy usage in graphics and AI workloads, contributing to improvements in architecture, design, and power management. You will be part of a diverse and innovative environment that encourages creativity and collaboration. This position offers the opportunity to make a significant impact on the future of computing.

• Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering or equivalent experience.
• Strong coding skills, preferably in Python and C++.
• Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
• Understanding of VLSI, digital design, and computer architecture concepts.
• Basic understanding of power and energy consumption, estimation, and low power design.
• Basic understanding of the chip design process from RTL design to tape-out.
• Background in machine learning, AI, and/or statistical modeling is a plus.
• Desire to bring quantitative decision-making and analytics to improve energy efficiency.

• Define and implement tools and methodologies for efficient data generation from post layout netlists.
• Develop tools and infrastructure to sanitize each metric in the model for high correlation accuracy.
• Define and implement tools and methodologies for integrating power models with performance tools.
• Identify runtime and memory limitations of existing flows and tools to speed up model delivery processes.
• Mine data from pre- and post-silicon performance runs to identify important data paths and bottlenecks.
• Provide feedback to design teams to improve power efficiency.
• Collaborate with various teams to integrate data movement power models.
• Experiment with ML techniques to address design questions and set power/energy targets.
• Enable efficient storage and retrieval of data from databases.
• Facilitate easy visualization of data using platforms such as PowerBI and OpenSearch.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.