Full-Time

ASIC Clocks Engineer – New College Grad 2023

Posted on 8/2/2023

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$92k - $195.5k

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 computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • May 2026 Q1 revenue reached $81.6 billion, driven by 92% data-center growth.
  • Nvidia secured $30 billion cloud agreements and $80 billion buyback authorization.
  • CPU, optical networking, and physical-AI initiatives open adjacent markets beyond GPUs.

What critics are saying

  • AMD and Intel are targeting Nvidia's $200 billion CPU opportunity aggressively.
  • TSMC dependency makes Blackwell and Vera Rubin shipments vulnerable to Taiwan disruption.
  • Investors are pricing post-2027 slowdown, compressing valuation on any execution miss.

What makes NVIDIA unique

  • Nvidia dominates AI training GPUs with over 80% market share in 2025.
  • Blackwell and Vera Rubin create a full-stack AI infrastructure platform, not chips alone.
  • CUDA, networking, and system partnerships lock customers into Nvidia's software and hardware ecosystem.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
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