Architecture Energy Modeling Engineer - New College Grad 2026

Job Title

Architecture Energy Modeling Engineer - New College Grad 2026

Role Summary

Develop machine-learning and statistical energy/power models for GPUs and SoCs and integrate them into architectural simulators, RTL/emulation, and silicon platforms. Collaborate with architects, ASIC designers, low-power and performance engineers, software, and physical design teams to analyze energy use and guide design and power-management improvements.

Experience Level

Entry-level — new college graduate. Suitable for recent graduates or candidates with approximately 0–2 years of relevant experience.

Responsibilities

Key day-to-day responsibilities include:

• Work with architects, designers, and performance engineers to influence energy-efficient GPU designs.
• Identify features and workloads for building ML-based unit power/energy models.
• Design, train, and maintain ML/statistical models and related workflows.
• Improve model accuracy via alternative representations, objective functions, and learning algorithms.
• Estimate data-movement power/energy and correlate model predictions across design stages (early architecture → silicon).
• Integrate power/energy models into performance platforms for combined reporting.
• Develop tools to debug energy inefficiencies on silicon, RTL, and simulators and propose fixes.
• Prototype architectural features, build energy models for them, and analyze system impact.
• Participate in studies to improve GPU performance-per-watt.

Requirements

Must-have technical skills and attributes:

• Strong software coding skills, preferably Python and C++.
• Experience with machine learning, AI, or statistical modeling.
• Background or strong interest in computer architecture and energy-efficient GPU design.
• Ability to formulate and analyze algorithms, including runtime and memory complexity.
• Basic understanding of energy consumption, estimation, and low-power design concepts.
• Comfort with quantitative analysis and using analytics to guide design decisions.
• Good verbal and written communication and interpersonal skills.
• Nice-to-have: familiarity with Verilog and ASIC design principles.

Education Requirements

Pursuing or recently completed a MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.