Full-Time

ASIC Clocks Engineer – New College Grad 2023

Posted on 8/2/2023

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$92k - $195.5k

Entry

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Software Engineering
Required Skills
Verilog
Python
Perl
Requirements
  • BS or MS (preferred) in EE or equivalent experience
  • Experience in RTL design (Verilog), verification and logic synthesis
  • Strong coding skills in Perl, C++, or Python
  • Strong Understanding of Timing/Physical Design
Responsibilities
  • Will be collaborating with other architects, ASIC designers and verification engineers to design high frequency clock structures
  • Engaging with multiple teams and design the GPU clock structure to satisfy all the architectural constraints
  • Deliver clock information to SOC verification team, timing and DFT teams
  • You will use Perl to streamline efficiency of the above teams
  • Collaborate with Software and product group to debug GPU clock silicon bugs in our new products
  • Understand and design clocking structures to overcome sub-micron design challenges
  • Identify improvements in the current design and propose and implement new ways to improve the efficiency in the GPU clocking design
Desired Qualifications
  • Excellent interpersonal skills
  • Project experience spanning front-end and back-end ASIC design
  • Projects involving programming and scripting

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 enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Gretel enhances AI training with robust synthetic data capabilities.
  • Integration of Augtera Networks boosts NVIDIA's data center networking efficiency.
  • Backing ClustroAI aligns with the trend of local device AI processing.

What critics are saying

  • Increased competition from AI cloud platforms like Lambda and Together AI.
  • Potential integration challenges with Gretel affecting operational efficiency.
  • Investment in ClustroAI may cannibalize NVIDIA's cloud-based AI solutions.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin creation.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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