Job Description

As a member of the Architecture Energy Modeling Team at NVIDIA, you will collaborate with various engineering teams to implement energy modeling techniques for next-generation GPUs, CPUs, and Tegra SOCs. Your work will focus on understanding energy usage in graphics and AI workloads, contributing to improvements in architecture, design, and power management.

Requirements

Pursuing or recently completed a BS, MS or PhD in Electrical or Computer Engineering or equivalent experience.
Strong coding skills, preferably in Python, 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 fundamental concepts of power and energy consumption, estimation, and low power design.
Basic understanding of 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 the energy efficiency of our products.

Responsibilities

Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model.
Develop tools and infrastructure to sanitize each metric in the model to achieve high correlation accuracy.
Define and implement tools and methodologies for efficient integration of power models with performance tools.
Identify runtime and memory limitation of existing flows and tools to speedup model delivery process.
Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks. Give feedback to design teams and improve power efficiency.
Work with floorplan, performance, verification and emulation methodology and infrastructure development teams to integrate data movement power models.
Experiment with various ML techniques to answer what-if design questions and set proper power/energy targets for next generation chips.
Enable efficient storage and retrieval of data from database.
Enable easy visualization of data using platforms such as PowerBI, OpenSearch.

Benefits

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.