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

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People at NVIDIA who can refer or advise you

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Simplify's Take

What believers are saying

  • NVIDIA launched BioNeMo Agent Toolkit on June 23, 2026, expanding its foothold in agentic life sciences[1][5].
  • BioNeMo integrates with Anthropic's Claude Science workbench, strengthening partnerships in scientific AI[3][6].
  • NVIDIA's revenue surged to $215.9 billion in fiscal 2026, with analysts projecting growth to $392.7 billion in fiscal 2027[1].

What critics are saying

  • Kyber NVL144 faces a confirmed 12+ month delay to 2028, undermining annual release cadence and aiding hyperscaler custom chip adoption[1][2].
  • Hyperscalers Amazon, Google, Microsoft, and Meta are scaling their own AI silicon during the Kyber delay, eroding NVIDIA's data center pricing power[2].
  • Rubin Ultra chips are stranded without a compatible rack until 2028, creating a 14-month product gap that may push customers to AMD[3].

What makes NVIDIA unique

  • NVIDIA BioNeMo NIM microservices are trained from scratch for biology, improving accuracy in structure prediction and molecule generation[2][6].
  • NVIDIA's partnership with LG Group builds an AI factory spanning robotics and autonomous driving beyond data centers[LG deal].
  • Over 50 companies use BioNeMo to accelerate drug discovery, signaling early commercial traction in agentic life sciences[1][6].

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

-1%
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