Full-Time

Research Scientist – PhD New College Grad

Posted on 4/18/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$168k - $264.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

PhD

Category
AI & Machine Learning (2)
,
Required Skills
Rust
Python
PyTorch
Machine Learning
C/C++

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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.

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

  • Q2 fiscal 2027 revenue hit $96.2 billion, up 106% year over year.
  • Rubin production shipments start in 2026, targeting 10x lower inference costs.
  • Anthropic's $10 billion NVIDIA stake and partnerships expand locked-in customer demand.

What critics are saying

  • France's antitrust probe nears conclusion in July 2026, risking fines and conduct restrictions.
  • U.S. export controls and China's port crackdowns threaten H20, H200, and Blackwell sales.
  • OpenAI's $105 billion Ohio backstop and $500 billion financing draw circular-demand scrutiny.

What makes NVIDIA unique

  • Blackwell and Rubin bundle GPUs, CPUs, networking, and software into one platform.
  • NVIDIA shipped Vera Rubin samples in August 2026, staying ahead of AMD and Intel.
  • Its data-center business reached $194 billion fiscal 2026, proving unmatched AI scale.

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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%
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