Senior System Architect, GPU at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
$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

C++
C
Perl
Python
CMAKE
make
GCC
STL
TLM
GPU Architecture
CPU Architecture
Network-on-Chip
Memory Subsystems

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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