Full-Time

AI Developer Technology Engineer New Grad

AI

Updated on 8/5/2026

Deadline 8/8/26
NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$124k - $241.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Salt Lake City, UT, USA + 5 more

More locations: Austin, TX, USA | Redmond, WA, USA | Santa Clara, CA, USA | Durham, NC, USA | Boulder, CO, USA

In Person

Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
Graphics Processing Unit (GPU)
Neural Networks
CUDA
Machine Learning
C/C++
Computer Vision

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Requirements
  • Pursuing or recently completed a Master of Science or Doctor of Philosophy in an engineering or Computer Science related discipline, or equivalent experience.
  • Strong knowledge of C and C++, software design, programming techniques, and artificial intelligence algorithms.
  • Experience with parallel programming, ideally CUDA C and C++.
  • Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization.
Responsibilities
  • Study and develop state-of-the-art techniques in deep learning and machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
  • Provide artificial intelligence solutions using GPUs while working directly with key customers.
  • Collaborate closely with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.
Desired Qualifications
  • A background that includes low-level performance optimizations and computer architecture.
  • Expertise in parallelization and performance optimization of deep learning models arising from natural language processing, computer vision, recommender systems, and related areas.

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 guidance targets $91 billion next quarter, despite zero China data-center revenue.
  • Lancium secures Texas power for Stargate, easing grid bottlenecks quickly.
  • Indosat's Zankore targets 200 megawatts by 2027, extending Nvidia's platform abroad.

What critics are saying

  • Commerce's May 31, 2026 guidance closes overseas-China loopholes, shrinking Nvidia's indirect demand.
  • China is probing Mellanox antitrust compliance; penalties can restrict Nvidia operations.
  • If Washington broadens cloud-access controls, China revenue collapses and Nvidia becomes one-market dependent.

What makes NVIDIA unique

  • Nvidia spans chips, networking, software, and infrastructure financing; competitors sell only accelerators.
  • Blackwell and Rubin keep hyperscalers locked into CUDA and NVLink ecosystems.
  • Lancium and Zankore show Nvidia sells compute plus power access, not hardware.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-3%
Yahoo Finance
Aug 11th, 2026
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Nvidia CEO Jensen Huang told investors to buy AI stocks during a market downturn in early June, calling falling prices a discount opportunity. Speaking in Seoul whilst South Korea's KOSPI index dropped more than 8%, Huang said the AI revolution was just beginning. His remarks came after AI and chip stocks lost roughly $1.3 trillion in combined market value within days. Nvidia shares had fallen over 15% from their May peak. Huang backed his words with action, announcing a multi-year partnership with SK Hynix to co-develop next-generation AI memory chips. Nvidia's fiscal fourth-quarter revenue reached $68.1 billion, up 73% year-over-year. Investors who bought Nvidia shares on 8 June gained 5.1% by early August, slightly outperforming the S&P 500's 4.3% rise.

CNBC
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US oil reserves hit 40-year low as Brent crude rallies 5% and Nvidia launches $500B AI funding push

US crude oil stockpiles in the Strategic Petroleum Reserve have fallen below 300 million barrels for the first time in over 40 years. The reserve dropped by 6.1 million barrels to 298.7 million barrels last week, according to Department of Energy data released Monday. President Trump ordered the release of 172 million barrels in March after Iran disrupted oil exports through the Strait of Hormuz. International benchmark Brent rose around 5% to $87.72 per barrel on Monday, whilst US West Texas Intermediate futures climbed about 5% to close at $82.13 per barrel. Meanwhile, Nvidia announced plans with six asset firms to mobilise over $500 billion in third-party capital for hyperscalers and AI labs. The initiative aims to help customers acquire Nvidia hardware without using their own balance sheets.

Yahoo Finance
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Nvidia announced plans to raise over $500 billion with six major financial firms — Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR — to finance AI data centres. CEO Jensen Huang is positioning AI compute infrastructure as a new investable asset class. The deals are non-binding memorandums of understanding with no timeline or named projects yet. The $500 billion target represents capital to be raised over time, not Nvidia revenue. The financing model depends on whether AI hardware retains value as it ages. Huang said Nvidia may offer residual-value support for up to 25% of opportunities on a case-by-case basis, though details remain unclear. Each firm will independently assess deals based on customer demand, hardware utilisation, and secondary market value. The approach lets Nvidia expand customer purchasing power without carrying projects on its own balance sheet.

Yahoo Finance
Aug 10th, 2026
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Cathie Wood's Ark Investment Management recently purchased 80,000 Nvidia shares across five funds while reducing its Roblox holdings, despite Wall Street concerns about an AI spending bubble. Nvidia's data center networking revenue surged nearly 200% year over year last quarter, with roughly half now coming from diverse customers beyond major hyperscalers. Meta, Amazon, Microsoft, and Alphabet plan to spend up to $725 billion this year, up 77% annually, with Nvidia positioned to capture 35% to 40% of that spending. Meanwhile, Roblox disappointed with second-quarter bookings rising just 8% year over year at guidance's low end. Management withdrew full-year outlook, and third-quarter bookings guidance points to a 14% to 18% year-over-year decline. The stock has fallen over 50% year to date.

FinanzNachrichten.de
Aug 10th, 2026
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