Senior Power Methodology and Modeling Engineer

NVIDIA Corporation; Austin (TX); On-site; USD 136,000 - 218,500; Full time

Benefits offered by this job

Equity options

Job summary

A leading technology firm in Austin, Texas is seeking a Senior Power Methodology and Modeling Engineer to join their Architecture Energy Modeling Team. The role involves working with various engineering teams to implement energy modeling techniques for next-generation GPUs and CPUs. Candidates should have a strong coding background, preferably in Python and C++, with at least 5 years of experience. The position offers a competitive salary ranging from $136,000 to $218,500, based on experience and level.

Qualifications

• 5+ years of experience in a related field.
• Strong coding skills in Python and C++.
• Understanding of power and energy consumption principles.

Responsibilities

• Define and implement tools for data generation.
• Develop power models and ensure accuracy.
• Analyze many data paths and suggest improvements.
• Experiment with ML techniques for design questions.

Skills

Strong coding skills, preferably in Python

Ability to formulate and analyze algorithms

Strong background of VLSI

Good understanding of power and energy consumption

Background in machine learning or AI

Education

MS or PhD in related fields

Tools

Python

C++

PowerBI

OpenSearch

Job description

Senior Power Methodology and Modeling Engineer page is loaded## Senior Power Methodology and Modeling Engineerlocations: US, TX, Austin: US, CA, Santa Claratime type: Full timeposted on: Posted Todayjob requisition id: JR2011793As a member of the Architecture Energy Modeling Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us understand energy usage in graphics and AI workloads and make improvements in architecture, design, and power management.Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!**What you'll be doing:*** 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.**What we need to see:*** 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.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and .Applications for this job will be accepted at least until February 3, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.