GPU Power Analysis Engineer - New College Grad 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

EE, MS or PhD in related fields, or equivalent experience
Basic understanding of concepts of energy consumption, estimation, and low power design
Familiarity with Verilog and ASIC design principles, including knowledge of logic cells
Good verbal/written English and interpersonal skills; much collaboration with design teams is expected
Strong coding skills, preferably in Python, C++
Ability to formulate and analyze algorithms, and comment on their time complexity and memory consumption
Desire to bring data-driven decision-making and analytics to improve products

Responsibilities

Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency
Develop and share best practices for performing pre-silicon power analysis
Enhance internal power tools and automate best practices
Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny
Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes
Select and run a wide variety of workloads for power analysis
Collaborate with performance and architecture teams to validate performance of the workloads
Prototype a new architectural feature in Verilog and analyze power

Skills

Power Analysis

RTL

Gate-Level Power Analysis

Verilog

ASIC Design

Power Modeling

GPU

Tegra SOC

Physical Design

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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