NVIDIA

NVIDIA

Designs GPUs and AI HPC platforms

Research Scientist – PhD New College Grad

Full-TimePosted on 4/18/2026
$168k - $264.5k/yr

+ Equity

Entry
PhD
Santa Clara, CA, USA
In Person
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
  • Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
  • Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
  • Proficiency with Python, Rust, and/or C++.
  • Experience with AI model training and evaluation frameworks, like PyTorch.
Responsibilities
  • Propose, research, prototype and test innovative research ideas.
  • Publish at top conferences and patent novel inventions.
  • Collaborate with other research team members, external researchers, and mentor interns.
  • Create working interactive demonstrations to showcase your research ideas.
  • Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
Desired Qualifications
  • Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
  • Experience with multi-node, multi-GPU training and inference workflows.
  • Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
  • A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.

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

  • September 9, 2026 Australia partners target a 2-gigawatt NVIDIA AI buildout by 2027.
  • September 21, 2026 Google, Emerald AI, and NVIDIA launched flexible data-center management.
  • August 2026 revenue reached $96.2 billion, with data center sales at $89 billion.

What critics are saying

  • Apple's September 2026 Mac Studio demo pushes stable inference off rented GPU clouds.
  • U.S. export controls tightened May 31, 2026, blocking Nvidia chips from Chinese subsidiaries abroad.
  • Power, cooling, and grid limits delay DSX builds; customer-owned clusters slash recurring GPU rentals.

What makes NVIDIA unique

  • September 21, 2026 DSX Ready makes NVIDIA the reference layer for AI factory power and cooling.
  • Vera Rubin NVL72 still anchors NVIDIA's fastest inference platform, shown September 16, 2026.
  • NVIDIA now orchestrates chips, networking, software, and infrastructure partners across AI campuses.

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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%
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.

Yahoo Finance
Sep 24th, 2026
Nvidia to outperform AMD over next 12 months despite AMD's 187% gain vs Nvidia's 22% in 2025

AMD surpassed $1 trillion in market value on 21 September, becoming the fourth US chipmaker to reach that threshold. The stock has surged 187% this year, driven by AI demand for chips. Nvidia, five times larger than AMD, has gained 22% in 2026 but hasn't reached a new record since mid-May. The company reported second-quarter revenue of $96.2 billion, up 106% year over year, with net income rising 126% to $59.7 billion. Nvidia's CFO Colette Kress guided for approximately 70% revenue growth in fiscal 2028, calling it a "supply-constrained outlook". At Monday's close of $227.38, shares trade at roughly 15 times expected fiscal 2028 earnings. AMD's second-quarter revenue reached $11.5 billion, up 50% year over year.

Yahoo Finance
Sep 24th, 2026
Apple demos Mac Studios running trillion-parameter model, threatening Nvidia's $89B data centre business

Nvidia shares fell nearly 1.3% to $227.98 on Wednesday after Apple demonstrated four connected Mac Studios running a trillion-parameter AI model to fix a coding bug. Apple's pitch targets businesses seeking to avoid recurring cloud costs by purchasing machines outright for steady workloads or sensitive data processing. The challenge comes as Nvidia's data centre business dominates its revenue, generating $89 billion of $96.2 billion total revenue, or roughly 92.5%, in its latest quarter. Whilst Apple's desktop approach is unlikely to replace large systems used for training frontier models, investors now face a narrower question: how much routine AI work can shift to customer-owned machines before requiring cloud GPU resources?

Yahoo Finance
Sep 23rd, 2026
Nvidia qualifies Tesla Megapack and Vertiv cooling for new AI data centre standard

Nvidia launched its DSX Ready program on 21 September, qualifying Tesla and Vertiv as suppliers for AI data centre infrastructure. The initiative certifies battery-energy-storage and cooling equipment compatible with Nvidia's high-density GPU systems. Tesla's Megapack battery system received qualification, positioning the company to supply power backup and grid-support solutions for AI facilities. This opens a new revenue stream beyond utilities and renewable projects. Vertiv secured approval for its 2.3-megawatt CoolChip coolant distribution unit. Higher rack density increases cooling requirements per megawatt, potentially accelerating Vertiv's growth beyond overall data centre expansion. The programme aims to standardise components around Nvidia's GPU infrastructure, though the company notes qualification does not guarantee project wins or replace site-level engineering. Hedge fund data from Q2 showed 285 funds holding Nvidia, 116 holding Tesla, and 112 holding Vertiv.

Yahoo Finance
Sep 23rd, 2026
IonQ's Superion 256 becomes first quantum processor at NVIDIA's Accelerated Quantum Research Center

IonQ will deploy its Superion 256 quantum computer at NVIDIA's Accelerated Quantum Research Centre, marking the first on-premise quantum computing installation at the facility. The system will connect directly with an NVIDIA GB200 NVL72 system via NVIDIA NVQLink, with workloads managed by the CUDA-Q platform. The joint research programme will focus on hybrid software development and large-scale system prototyping. IonQ's roadmap targets 10,000 qubits and full fault tolerance through vertical integration of its SkyWater CMOS foundry. Earlier this month, the companies published joint research with Oak Ridge National Laboratory and the University of Tennessee, introducing a framework combining generative AI with distributed quantum algorithms for complex optimisation challenges. The partnership aims to advance the integration of quantum processors with supercomputing hardware.

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