Senior System Architect, GPU at NVIDIA

Santa Clara, California, United States

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$148,000 – $287,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, Artificial IntelligenceIndustries

Requirements

Master’s degree (or equivalent experience) in Computer Science, Electrical Engineering, or Computer Engineering
5+ years of relevant work experience
Strong programming ability in C++, C, Perl, and Python
Understanding of build systems (CMAKE, make) and toolchains (GCC)
Familiarity with libraries (STL)
Experience with CPU or GPU architecture, particularly in graphics and compute pipelines, memory subsystems, and Network-on-Chip (NOC)
Experience with Transaction Level Modeling (TLM)
Strong communication and interpersonal skills, ability to work effectively in a dynamic, product-oriented, distributed team

Responsibilities

Design and functional modeling of components in the GPU and commonly used libraries, focusing on control fabric, Network-on-Chip (NOC), register buses, and microcontrollers
Define IP boundaries and interface specifications across subsystems within the GPU
Specify coverage and assertion requirements for protocol compliance
Develop versioned interface specifications and documentation for architects and ASIC teams
Update and maintain specifications for new features, backward compatibility, and BFM (Built-in Functional Verification) development
Drive key architectural and infrastructural changes required for efficient and scalable turnkey deployment of IP subsystems
Develop models, tests, test plans, and testing infrastructure for new architectures and features
Document architectural decisions in a system architecture specification, collaborating with multi-functional teams (ASIC design, software, VLSI) to explore trade-offs, define solutions, and track development progress

Skills

Key technologies and capabilities for this role

C++CPerlPythonCMAKEmakeGCCSTLTLMGPU ArchitectureCPU ArchitectureNetwork-on-ChipMemory Subsystems

Questions & Answers

Common questions about this position

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

The base salary range is $148,000 - $287,500 USD.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for this Senior System Architect role?

Required skills include strong programming in C++, C, Perl, and Python; experience with CPU or GPU architecture including graphics/compute pipelines, memory subsystems, and NOC; and experience with Transaction Level Modeling (TLM). Additional needs are understanding of build systems like CMAKE and toolchains like GCC, plus strong communication skills.

What is the company culture like at NVIDIA for this role?

NVIDIA fosters a diverse work environment, is an equal opportunity employer, and emphasizes working effectively in a dynamic, product-oriented, distributed team with cross-functional collaboration.

What makes a strong candidate for this position?

A strong candidate will have a Master’s degree in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent), 5+ years of relevant experience, expertise in GPU/CPU architecture, programming in C++/C/Perl/Python, and strong communication skills for cross-functional teamwork.

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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