NVIDIA

NVIDIA

Designs GPUs and AI HPC platforms

Research Intern - Electronic Design Automation

Summer 2027Posted on 9/23/2026Deadline 9/27/26
$38 - $94/hr
Internship
PhD
Santa Clara, CA, USA
In Person
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Having publications in leading Electronic Design Automation or artificial intelligence conferences on artificial intelligence for Electronic Design Automation, Formal Methods, or GPU-accelerated Electronic Design Automation.
  • Excellent programming skills in rapid prototyping environments such as Python; C++ and parallel programming such as CUDA are a plus.
  • Expertise in Electronic Design Automation algorithms, including formal verification techniques, logic synthesis, physical design, and timing and signoff algorithms, combined with publications and project experience applying artificial intelligence to impactful problems.
  • The ability to work effectively within a research team.
  • Excellent written and verbal communication skills, with proven experience communicating technical work through academic presentations or poster sessions, and the ability to synthesize and explain complex technical concepts.
Responsibilities
  • Apply Agentic artificial intelligence, large language models, Generative artificial intelligence, reinforcement learning, and GPU acceleration to chip design workflows.
  • Research and develop creative and innovative Electronic Design Automation software and algorithms.
  • Collaborate with circuits, very-large-scale integration, and architecture team members in research and product teams.
  • Plan to publish and present original research.
Desired Qualifications
  • C++ and parallel programming such as CUDA.

About the company

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's Take

What believers are saying

  • Jensen Huang said on 2026-09-17 NVIDIA will sell twice as many chips next year.
  • NVIDIA expanded Australian AI infrastructure capacity on 2026-09-09 with cloud partners.
  • Chris Malone joined NVIDIA in September 2026, strengthening DSX data-center deployment execution.

What critics are saying

  • U.S. Commerce tightened China loophole enforcement on 2026-05-31, constraining Blackwell shipments.
  • Apple's 2026-09-17 local trillion-parameter demo shifts routine inference off NVIDIA GPUs.
  • Reuters reported active shareholder fraud litigation on 2026-04-24, extending legal overhang.

What makes NVIDIA unique

  • DSX Ready on 2026-09-21 standardizes AI factory power and cooling around NVIDIA designs.
  • CUDA-Q Logical on 2026-09-17 extends NVIDIA software into fault-tolerant quantum workflows.
  • NVLink Fusion and Vera Rubin lock partners like d-Matrix, Palantir, and Australian cloud builders.

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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 25th, 2026
IonQ's NVIDIA quantum tie-up puts spotlight on Rigetti's $13.35M revenue base and government contracts

IonQ announced it will deploy its Superion 256 quantum processor at NVIDIA's Accelerated Quantum Research Center, highlighting integration between quantum and AI infrastructure. The move has drawn attention to competitor Rigetti Computing. Rigetti's investment case centres on early quantum hardware adoption backed by government and research customers. The company generated $13.35 million in annual revenue but remains unprofitable. Analysts note the IonQ-NVIDIA partnership reinforces Rigetti's existing thesis rather than creating new near-term catalysts. Key drivers include CHIPS Act milestone execution and ramping deployments of its Cepheus and Novera systems. Community fair value estimates for Rigetti range widely from below $1 to $40 per share. The company carries a Zacks Rank of 5, reflecting valuation concerns alongside recent share price volatility and insider selling.

Yahoo Finance
Sep 25th, 2026
Nvidia beats Micron as better AI buy with 96% ROE, stronger margins and broader infrastructure exposure

Micron Technology reported fiscal third-quarter 2026 revenues of $41.46 billion, up from $23.86 billion the previous quarter, driven by strong demand for high-bandwidth memory chips used in AI servers. The company expects revenues to reach around $50 billion in the fourth quarter with an 86% gross margin. NVIDIA's data centre segment revenues surged 117% year-over-year to $89 billion in fiscal Q2 2027, with total revenues reaching $96 billion. The company projects $108 billion in revenues for the third quarter. NVIDIA's 63.7% net profit margin exceeds Micron's 55.9%, whilst its 96% return on equity surpasses Micron's 72.5%. NVIDIA holds a Zacks Rank #1 rating, compared to Micron's #3 rating.

Yahoo Finance
Sep 25th, 2026
NVIDIA leads TI on growth and margins despite higher supply constraints and $50B AI lab investment

NVIDIA and Texas Instruments both supply chips for data centres, but their market positions differ sharply. NVIDIA's data centre revenue hit $89 billion in fiscal Q2 2027, with supply constraints expected through fiscal 2028. The company guided fiscal Q3 revenue to $108 billion, approximately 12% above Q2. Texas Instruments guided Q3 2026 revenue to $5.65-6.15 billion, up from $5.5 billion in Q2. Unlike NVIDIA, TI has spare manufacturing capacity and expects most growth from higher unit sales rather than pricing. NVIDIA leads on six key metrics: revenue grew 83% year-over-year versus TI's 16.7%, whilst operating margins reached 65.2% compared to TI's 38.1%. Debt represents just 0.7% of NVIDIA's market value versus 6.1% for TI. TI offers a lower price-to-sales ratio and recently increased its dividend for the 23rd consecutive year. NVIDIA's fiscal Q3 results on 17 November will test whether its advantage holds.

Yahoo Finance
Sep 25th, 2026
Nvidia partners with IonQ to install Superion 256 quantum computer at research centre

Nvidia has selected IonQ's Superion 256 system as the first quantum computer for its Accelerated Quantum Research Centre. The system will connect to Nvidia-powered servers using the NVQLink platform, with IonQ's hardware handling quantum-specific tasks whilst Nvidia's GB200 GPUs manage processing-heavy workloads. The deal lends legitimacy to pure-play quantum computing startup IonQ whilst expanding Nvidia's footprint in quantum computing. Nvidia reported revenue of $178 billion in the first half of fiscal 2027, up 96% year over year, with net income surging 161% to $118 billion. Despite this growth, Nvidia shares rose just 22% over the past year. The company now holds approximately $99 billion in liquidity and maintains a market capitalisation of $5.4 trillion.

The Information
Sep 24th, 2026
Former OpenAI data centre chief joins Nvidia as VP of AI infrastructure division

Former OpenAI data centre chief Chris Malone has joined Nvidia as vice president of the DSX Platform, according to his LinkedIn profile. The DSX division helps customers design and build AI data centres according to Nvidia's specifications. Malone previously led data centre operations at OpenAI. His move to Nvidia comes as the chipmaker expands its infrastructure services business to support the growing demand for AI computing facilities. The appointment strengthens Nvidia's team focused on large-scale AI infrastructure deployment.