Architecture Energy Modeling Engineer - New College Grad 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

MS degree with 1 year experience in related fields or equivalent experience
Strong coding skills, preferably in Python, C++
Background in machine learning, AI, and/or statistical modeling
Interest in computer architecture and energy-efficient GPU designs
Familiarity with Verilog and ASIC design principles (plus)
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of products
Good verbal/written English and interpersonal skills

Responsibilities

Work with architects and performance architects to develop an energy-efficient GPU
Develop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques
Develop methodologies to improve the accuracy of energy models under various constraints, such as process, timing, floorplan, and layout
Correlate the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators; work with architects to fix the identified energy inefficiencies
Work with performance, verification, and emulation methodology and infrastructure development teams to integrate energy models into their platforms
Prototype new architectural features, create an energy model, and analyze the system impact

Skills

Energy Modeling

Power Analysis

GPU Architecture

RTL Simulation

Emulation Platforms

ML Techniques

Statistical Modeling

ASIC Design

Physical Design

Performance Analysis

Architectural Simulation

Silicon Correlation

Debugging Tools

Power Management

Tegra SOC

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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