Full-Time

ASIC Clocks Verification Engineer – New College Grad

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$116k - $218.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Hybrid

Hybrid role; on-site days in Santa Clara, CA with some remote work.

Master's

Category
Hardware Engineering (1)
Required Skills
Verilog
Python
Perl

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Requirements
  • A Master’s degree in Electrical Engineering (or equivalent experience).
  • Practical experience with SystemVerilog and Universal Verification Method (UVM).
  • Experience with Design Verification, Logic Design, and Logic Synthesis.
  • Strong coding skills in Python, Perl, or other industry-standard scripting languages.
Responsibilities
  • As a Clocks team member, you will be collaborating with other architects, ASIC designers and verification engineers to verify high frequency clock structures.
  • Be able to engage with multiple teams and design the GPU clock structure to satisfy all the architectural constraints.
  • Your understanding of general verification principles will be valuable to verify the clocks design.
  • Together with other team members, we deliver clock information to SOC verification team, timing and DFT teams. You will use Perl to improve the productivity 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.
  • You will also identify improvements in the current design and propose and implement new ways to improve the efficiency in the GPU clocking design.

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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Simplify Jobs

Simplify's Take

What believers are saying

  • August 2026 revenue hit $96.2 billion; data center revenue reached $89.0 billion.
  • Management guided Q3 fiscal 2027 revenue to $108 billion, showing relentless demand.
  • NAVER, Brookfield, and Nvidia expanded Korea’s AI factory to 200 megawatts in July 2026.

What critics are saying

  • Taiwan indicted nine people on August 24, 2026 for illegal Nvidia chip exports to China.
  • Memory costs cut Q3 gross margin guidance to 71%-72%, pressuring profitability in 2026.
  • China export controls can erase a major market if Washington tightens rules further.

What makes NVIDIA unique

  • CUDA, Blackwell, and Nemotron lock developers into Nvidia’s full-stack AI ecosystem.
  • AWS and Nvidia announced 2 million additional GPUs for 2027-2028, deepening platform dependence.
  • NVIDIA DSX combines chips, software, and facilities for sovereign AI factories.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Yahoo Finance
Sep 9th, 2026
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Nvidia CEO Jensen Huang has countered hedge fund manager Michael Burry's concerns about the useful life of AI semiconductors. Burry, known for predicting the 2008 subprime market crash, argues that companies overestimate GPU lifespans at six years rather than two to three years, thereby inflating profits. However, Nvidia's Ampere A100 chips, launched in mid-2020, remain in demand six years later. Neocloud CoreWeave recently contracted to rent these processors through 2029, nine years after their introduction. Rental prices for the newer Hopper H100 chips have increased 22% month over month, suggesting continued strong demand. Huang shared this pricing data on social media this week, reinforcing his position against Burry's bearish outlook on AI semiconductor longevity.

Yahoo Finance
Sep 9th, 2026
Nvidia raises Q3 revenue guidance to $108B, but margin squeeze from memory costs dampens investor reaction

Nvidia guided fiscal Q3 2027 revenue to $108 billion, an 18.7% increase from the prior quarter's guidance. The company expects revenue to grow approximately 70% in fiscal 2028, though supply constraints remain a factor. The stock gained 7% following the announcement, adding roughly $14.93 per share. However, rising memory costs driven by AI infrastructure demand are squeezing margins. Nvidia guided gross margin 0.9 percentage points lower for Q3, expecting it to bottom at 71-72% in Q4 2027 before stabilising at 72-73% in fiscal 2028. Operating expenses were also guided higher. The company's data centre business shows strong demand, with its ACIE segment growing 138% year-over-year to $40 billion in Q2 2027.

Yahoo Finance
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NVIDIA and CU Healthcare Innovation Fund invest in Verily Health's AI platform expansion

Verily Health has secured additional investment from NVIDIA and existing backer CU Healthcare Innovation Fund II. The funding extends Verily's March fundraising round. Current investors include Alphabet, Series X Capital, and UCHealth. The investment supports scaling of Verily's Pre Platform, a data and AI platform helping healthcare organisations deploy AI across research and care. It also backs Verily Me, the company's patient engagement offering. Verily and NVIDIA previously announced a collaboration in October 2025. Researchers using the Pre Platform can leverage NVIDIA AI libraries and B200 GPUs. Verily developed Forecast 1.0, a foundation model integrating genomics and electronic health record data to predict long-term health risks, using NVIDIA's AI stack.

Yahoo Finance
Sep 9th, 2026
NVIDIA stock soars 14,700% in decade as CEO confirms demand outstrips supply through 2028

NVIDIA has delivered a 14,460% return over the past decade, turning $10,000 into approximately $1.45 million. The company's stock currently trades near $226.18, with analysts setting a 12-month price target of $308.85, implying 36.55% upside. NVIDIA reported fiscal Q2 FY27 revenue of $96.22 billion, up 105.85% year-over-year, with data centre revenue hitting $89.02 billion. The company projects Q3 revenue of $108 billion at 74% gross margins. CEO Jensen Huang stated that demand significantly exceeds NVIDIA's current supply capacity. Management guided fiscal 2028 revenue growth of approximately 70%, describing it as supply-constrained. Top-five hyperscaler capital expenditure is projected at nearly $800 billion in 2026 and $1.3 trillion in 2027.

Fortune
Sep 9th, 2026
Nvidia CEO declares AGI achieved with OpenAI's Astra, but markets remain unmoved

Nvidia CEO Jensen Huang declared over the weekend that artificial general intelligence has arrived, citing OpenAI's newest model Astra. Markets responded tepidly: Nvidia shares fell 2% whilst companies leveraged to OpenAI, like CoreWeave and SoftBank, saw gains. Gil Luria of D.A. Davidson suggests Nvidia is "too big to grow" despite reporting $96 billion in quarterly revenue. Economist Basil Halperin argues real interest rates, not stock prices, would signal true AGI. Real rates have risen three to four percentage points since 2021, partly due to AI infrastructure spending, but remain far from levels that would indicate transformative AI impact. Most experts expect AI to add only about half a percentage point to GDP growth. Halperin forecasts the next five years will resemble "the dot-com boom, but twice as fast and twice as hard.