NVIDIA
Technology
PowerMethodologyandModelingEngineer-NewCollegeGrad2026
Neural analysis suggests this role is
optimal for Entry candidates.
“Power Methodology and Modeling Engineer - New College Grad 2026 at NVIDIA. Skills: energy modeling techniques, power methodology, power modeling. 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”
What You'll Achieve.
understand energy usage in graphics and AI workloads; make improvements in architecture, design, and power management; achieve high correlation accuracy; speedup model delivery process; improve power efficiency; set proper power/energy targets for next generation chips
Industry & Context.
formulate and analyze algorithms; identify runtime and memory limitation; find important data paths and bottlenecks; answer what-if design questions
What They're Looking For.
Must Have
MS or PhD in Electrical or Computer Engineering or equivalent experience, 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
Nice to Have
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
What You'll Do.
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
Integrate data movement power models with floorplan
verification and emulation methodology and infrastructure development teams
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
How You'll Work.
Team & Collaboration
collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams; Work with floorplan, performance, verification and emulation methodology and infrastructure development teams
Full Job Description
As 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
Applying for this Power Methodology and Modeling Engineer - New College Grad 2026 role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.