Senior GPU Architect at NVIDIA

Santa Clara, California, United States

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$184,000 – $356,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

MS in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience
8+ years of relevant industry experience in GPU or CPU architecture (or equivalent)
Strong programming ability in C, C++, Perl, and Python
Knowledge in computer architecture, graphics algorithms, parallel processing, signal processing, and/or high-performance computing

Responsibilities

Design new hardware features for future graphics and parallel processing architectures
Develop or enhance graphics or parallel processing algorithms
Stay knowledgeable about future parallel programming models and their impact on hardware
Develop software for hardware simulators, test infrastructures, and metrics systems (including databases)
Work in a team to document, design, develop tools, analyze and simulate, validate, and verify functional or performance models
Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures
Be eager to learn and work on simulators, RTL, and real silicon

Skills

Key technologies and capabilities for this role

CC++PerlPythonComputer ArchitectureGPU ArchitectureGraphics AlgorithmsParallel ProcessingHigh-Performance ComputingHardware SimulatorsRTL

Questions & Answers

Common questions about this position

What is the salary range for the Senior GPU Architect position?

The base salary range is $184,000 - $356,500 USD.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need an MS in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent), 8+ years of relevant industry experience in GPU or CPU architecture, strong programming skills in C, C++, Perl, and Python, and knowledge in computer architecture, graphics algorithms, parallel processing, signal processing, and/or high-performance computing.

What is the company culture like at NVIDIA?

NVIDIA offers a challenging and rewarding environment for creative, autonomous, and driven individuals, and is committed to fostering a diverse work environment as an equal opportunity employer.

What makes a strong candidate for this Senior GPU Architect role?

A strong candidate will have an MS in a relevant field or equivalent, 8+ years in GPU or CPU architecture, proficiency in C, C++, Perl, and Python, and deep knowledge of computer architecture, graphics, and parallel processing, along with eagerness to work on simulators, RTL, and real silicon.

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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