Full-Time

Research Scientist – New College Grad 2024

Computer Vision and Deep Learning

Posted on 8/12/2023

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$160k - $253kAnnually

+ Equity + Benefits

Entry

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Lab & Research
Interdisciplinary Research
Physical Sciences
Required Skills
Python
Communications
CUDA
Pytorch
Computer Vision
Requirements
  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
  • Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
  • Knowledge of common machine learning frameworks, such as PyTorch.
  • Outstanding research track record.
  • Excellent communications skills.
Responsibilities
  • Research, design and implement novel computer vision and deep learning methods.
  • Publish original research.
  • Collaborate with other team members and teams.
  • Mentor interns.
  • Speak at conferences and events.
  • Work with product groups to transfer technology.
  • Collaborate with external researchers.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful hardware and software that enable immersive experiences and drive advancements in fields like machine learning and computer vision.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Augtera Networks boosts NVIDIA's networking capabilities and Spectrum-X portfolio.
  • Growing demand for NVIDIA GPUs in AI acceleration suggests potential market growth.
  • NVIDIA's support for AI-driven robotics solutions opens new market opportunities.

What critics are saying

  • Increased competition from Lambda's AI Cloud Platform challenges NVIDIA's market position.
  • Edge AI technologies may reduce demand for NVIDIA's cloud-based AI solutions.
  • Regulatory challenges in robot delivery services could impact NVIDIA's investment returns.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin technology.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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