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NVIDIA

Designs the chips and software that power AI

Human Resources Intern

People & HRConfirmed live in the last 24 hours
Internship · Summer 2027$20 - $71 /hrIn-person

About the Job

Requirements

  • Pursuing a Bachelor's or Master's degree in human resources or a similar field.
  • Demonstrating technical competence and the ability to navigate Microsoft Office applications and HR-related tools.
  • Demonstrating interest in Artificial Intelligence and enthusiasm for learning and applying AI tools.
  • Having interpersonal and critical-thinking skills, project-planning ability, and the ability to function in a fast-paced and innovative environment.
  • Having a strong interest in Human Resources Management, Organizational Development, or another HR-related function.

Responsibilities

  • Complete meaningful, high-impact projects designed to enhance a future career as an HRBP and deliver immediate value to the business.
  • Work on projects that may include compensation analysis, market research, recruiting market analysis, people analytics, talent management, business partner success, and recommendations.
  • Present final recommendations to the Human Resources Leadership Team at the end of the internship.
  • Participate in events with fellow HR and company interns, including executive and technical talks, mentor meetings, and social and cultural events.

Desired Qualifications

  • Having a passion for technology and innovation and thriving on driving strategies to completion.
  • Being a self-starter with an eye for finding efficiencies.
  • Familiarity with NVIDIA.
  • Prior internships within HR.
  • Having strong written and verbal communication skills.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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