Full-Time

Research Scientist

Fundamental Generative AI

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$160k - $253kAnnually

+ Equity

Entry

Santa Clara, CA, USA

Category
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Python
CUDA
Pytorch
C/C++
Requirements
  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics, etc. (or equivalent experience)
  • Excellent knowledge of the theory and practice of generative AI.
  • Experience in building generative models for image, 3D, video, multimodal, weather, biology, chemistry, or material science data.
  • Excellent programming skills in some prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
  • Knowledge of deep learning frameworks, such as PyTorch.
  • Outstanding research track record.
  • Excellent communication skills.
Responsibilities
  • Research, design, and implement novel, large-scale generative AI methods.
  • Publish original research.
  • Collaborate with team members, research teams, as well as product teams.
  • Speak at conferences and events.
  • Transfer technology to product groups.

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 tailored 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 tools and services that enable immersive experiences and drive advancements across multiple industries.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

43%
Simplify Jobs

Simplify's Take

What believers are saying

  • Investment in Ayar Labs enhances NVIDIA's AI infrastructure capabilities.
  • Acquisition of VinBrain expands NVIDIA's AI technology portfolio.
  • Participation in Nebius Group's financing aligns with NVIDIA's AI infrastructure focus.

What critics are saying

  • Increased competition from xAI challenges NVIDIA's AI sector dominance.
  • Ayar Labs' advancements may threaten NVIDIA's AI infrastructure market share.
  • VinBrain acquisition could lead to integration challenges and cultural clashes.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets.
  • NVIDIA's cloud services offer scalable AI and machine learning solutions.

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