Senior Power Methodology and Modeling Engineer

🕒 January 31

🏢🏡 Austin – Hybrid

💵 $136k - $218.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• MS (or equivalent experience) with proven experience or PhD in related fields • 5+ years of experience • Strong coding skills, preferably in Python, C++ • Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities • Strong background of VLSI, digital design, and computer architecture concepts • Good 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.

🏖️ Benefits

• equity • benefits