Internship

Solutions Architect Intern

AI, Summer 2024

Posted on 1/9/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$19 - $51/hr

Company Historically Provides H1B Sponsorship

Remote

This position is based in Canada, and the intern will be engaging with AI researchers and engineers in Canada. The job posting does not specify any travel requirements or specific geographic locations within Canada.

Category
AI & Machine Learning
Required Skills
Python
Data Science
Tensorflow
CUDA
Pytorch
Requirements
  • Pursuing a BS, MS, or PhD in Computer Science, Engineering, or related field
  • Experience with modern deep learning software architectures and frameworks including TensorFlow, PyTorch, JAX, or other deep learning frameworks
  • Programming experience with data science languages like Python, and/or HPC languages such as C/C++/Fortran
  • Experience with GPUs
Responsibilities
  • Engage with AI researchers and engineers to develop a keen understanding of their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs
  • Facilitate AI research activities on the NVIDIA platform
Desired Qualifications
  • Excellent knowledge of theory and practice of reinforcement learning
  • CUDA/GPU optimization experience
  • Strong analytical and problem-solving skills

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's business model includes selling hardware and software solutions, generating revenue from GPU sales, AI platforms, and software licenses. They also provide cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology. The company's goal is to drive innovation and deliver effective solutions across diverse industries.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's acquisition of Gretel strengthens its AI training data capabilities.
  • Partnership with Together AI expands NVIDIA's influence in AI cloud infrastructure.
  • Backing ClustroAI aligns NVIDIA with the trend of local device AI processing.

What critics are saying

  • Increased competition from startups like Lambda challenges NVIDIA's AI market share.
  • Integration challenges with Gretel may delay synthetic data utilization.
  • Investment in SandboxAQ could be risky if quantum AI models underperform.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • Acquisitions like Lepton AI enhance NVIDIA's cloud and AI capabilities.
  • NVIDIA's strategic investments in quantum AI models set it apart from competitors.

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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

-1%
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