Full-Time

Senior ASIC Verification Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$128k - $258.8kAnnually

+ Equity

Senior

California, USA + 2 more

More locations: Santa Clara, CA, USA | United States

Hybrid position requiring in-office presence.

Category
Electronics Design Engineering
Embedded Systems Engineering
Electrical Engineering
Hardware Engineering
Required Skills
Python
Perl
C/C++
Requirements
  • BS or MS in EE/ECE or equivalent experience.
  • 5+ years of relevant industry work experience.
  • Good understanding of Logic Design and Architecture.
  • Expertise in industry-standard verification flows like SV constraint random verification, UVM, Formal Verification, Coverage metrics, profiling tools, X prop, etc.
  • Exposure on block level and system-level verification.
  • Strong coding skills in System Verilog, scripting languages (Perl/python) and C++.
  • Ability to collaborate and work with multiple groups.
  • Prior experience in implementing Test plans for pre-silicon platforms.
  • Understanding of DFT/IST is optional.
Responsibilities
  • Own validation of Clocking structures in Tegra SOC GPU ASIC products from start to finish, including test plan development, automation, validation flows development, coverage metrics, test execution, bug identification/fix and productization.
  • Tackle Sophisticated problems and develop a scalable solution that works across platform.
  • Hands on industry-standard tools and state of the art verification methodologies. This includes coding in System Verilog, UVM, C++, Perl, Python and NVIDIA custom compilers and tools.
  • Partnering closely with our design team to understand our architecture and the collaborate with Quality Assurance engineers to deliver great test coverage and improve the Hardware quality.
  • Coordinate with internal and external teams across time zones.

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.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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