GPU Architecture Engineer - New College Grad 2025 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Pursuing or recently completed an MS or PhD (or equivalent experience) in CS, EE, math or related discipline
Strong programming ability in C, C++, and Python
Deep knowledge of computer architecture and parallel programming

Responsibilities

Contribute to advancing GPU Architecture Simulators, GPU testing infrastructure and metrics
Understand and model in C++, features for future graphics and parallel processing architectures
Develop test plans and testing infrastructure
Debug tests on architecture simulators
Develop tools to validate performance models and verify functional models

Skills

Key technologies and capabilities for this role

C++PythonCCUDAcomputer architectureparallel programmingGPU architecturegraphics algorithmssignal processing

Questions & Answers

Common questions about this position

What is the salary range for this GPU Architecture Engineer position?

The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits in addition to base salary.

What are the required skills and qualifications for this position?

Candidates need to be pursuing or recently completed an MS or PhD in CS, EE, math or related discipline, with strong programming ability in C, C++, and Python, plus deep knowledge of computer architecture and parallel programming.

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What makes a candidate stand out for this GPU Architecture Engineer role?

Experience in graphics algorithms and/or signal processing, prior architecture experience, and programming in CUDA, DX, and Vulkan will help you stand out.

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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