Senior Power Methodology and Modeling Engineer

Details

At NVIDIA, we pride ourselves in having energy-efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team researches and develops methods to make NVIDIA's products more energy efficient. We deliver power and energy models that work with performance simulators, RTL simulation, emulation, and silicon platforms.

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 speed up model delivery process.
• Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks. Provide 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 databases.
• Enable easy visualization of data using platforms such as PowerBI, OpenSearch.

Requirements

• MS (or equivalent experience) with 3 years of experience or PhD in related fields.
• Strong coding skills, preferably in Python, C++.
• Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
• Strong 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.
• Good verbal/written English and interpersonal skills.

Benefits

You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.