Full-Time

Senior Architect

NVIDIA Architecture

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $356.5kAnnually

+ Equity

Senior, Expert

Santa Clara, CA, USA

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Python
Docker
Perl
Jenkins
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
  • 8+ years of meaningful work experience or MS with demonstrated ability or PhD with 2+ years of experience.
  • Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
  • Computer Architecture background with experience in modeling with SystemC & TLM preferred.
  • Familiarity with Synopsys VDK, Docker, Jenkins, Python, Perl
  • Excellent communication and interpersonal skills and ability to work in a distributed team environment.
Responsibilities
  • Modeling of GPU and other baseboard components and features
  • Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models.
  • Familiarize with the different models functional and performance that are used at NVIDIA and help with feature implementation as required.
  • Develop tests, test plans, and testing infrastructure for new architectures/features.
  • Code coverage analysis and reporting
  • Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change.
  • Help develop AI based tools to increase efficiency.
Desired Qualifications
  • Computer Architecture background with experience in modeling with SystemC & TLM preferred.
  • Familiarity with Synopsys VDK, Docker, Jenkins, Python, Perl

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which cater to a wide range of applications such as AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that meet the needs of gamers, researchers, and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

INACTIVE