Full-Time

Senior Architect

NVIDIA Architecture

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$148k - $287.5k/yr

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Category
Hardware Engineering
System Hardware Engineering
Required Skills
Python
Perl
Jenkins
C/C++
Requirements
  • Bachelor’s degree (or equivalent experience) in a relevant subject area (Computer Science, Electrical Engineering or Computer Engineering)
  • 5+ years of meaningful work experience or master's with proven 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) for x86, ARM and RISC-V
  • Computer Architecture background with experience in modeling with SystemC & Transaction Level Modeling (TLM) preferred.
  • Familiarity with Jenkins, Python, Perl
  • Excellent communication and interpersonal skills and ability to thrive in a distributed team.
Responsibilities
  • Architectural design and functional modeling of components in the GPU with specific focus on control fabric, NOC’s, register buses
  • Work in a matrixed environment, across the different architecture, ASIC, DV (Design Verification), power and security teams to document, design, develop features to improve functionality and performance of the next generation GPU’s
  • Develop models (C++/SystemC), tests, test plans and testing infrastructure for new architectures and features
  • Develop and improve flows for turnkey delivery of GPU address maps and help building validation tools.
Desired Qualifications
  • Knowledge of SOC security, and virtualization a definite plus
  • Familiarity with RISC-V based microcontrollers desired
  • Computer Architecture background with experience in modeling with SystemC & Transaction Level Modeling (TLM) preferred.

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 for developers and data scientists. NVIDIA's products work by providing powerful processing capabilities that enable complex graphics rendering and data analysis. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the usability of their products. The company's goal is to lead in AI and high-performance computing by continuously investing in research and development to deliver advanced solutions for a wide range of clients.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Lepton AI enhances NVIDIA's AI infrastructure and cloud solutions.
  • Collaborations with Utilidata position NVIDIA as a leader in smart grid solutions.
  • Investment in Skild AI expands NVIDIA's reach in the robotics systems market.

What critics are saying

  • Emerging competition from startups like Emerald AI challenges NVIDIA's market dominance.
  • Integration challenges from acquisitions like CentML and Lepton AI pose potential risks.
  • Financial risks arise from investments in startups like Skild AI and AI21.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in AI model optimization through strategic acquisitions like CentML.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for diverse applications.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

0%
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