Nvidia NVIDIA Internships MBA Business Operations 

United States, California 

169074523

society—from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and createOur work istruly unique. Part science. Part art. Completely rewarding. Every breakthrough helps shape what comes next.

looking for students pursuing an MBA degree within a relevant or related field.

Our minimum 12-week internship ison-site in Santa Clara, CA.with living expenses over the summer)

reas for Internships Include:

• Corporate Development

• Data Center Business

• Data Science, FP&A

• Financial Analyst, Engineering

• Global Commodity Manager

• Human Resources

• Industry Marketing Strategy

• LLM Data

• Market Sizing Analysis

• Supply ChainPlanning

• Treasury Analyst, Investments and Capital Markets

be doing:

• Gain hands-on experience, exposure, and training while working on ambitious projects and expanding your knowledge relevant to your area of emphasis.

• Experience never-before-seen technologies and the latest software and hardware developments.

• Pair up with a mentor to help guide you through summer and meet newcolleagueswhile working in small groups.

What we need to see:

• Currently pursuing an MBA degree at an accredited university

• Passion for innovative technologies with a strong pulse on key trends, themes, and players

• Proven ability to work with a team while taking personal responsibility for your own contributions

• Agility in changing focus as the needs of our effort evolve

• Experience engaging with a highly technical audience

• Passion for diverse work assignments and enjoy the opportunity to try innovative approaches to overcome challenges

• Ability to develop relationships across a wide array of partners and build support for our core mission

• Ability to interact and influence across all levels within and outside the company

• Excellent business sense, critical thinking, and problem-solving skills.

Ways to stand out from the crowd:

• Working knowledge of machine learning, deep learning, high-performance computing

• Professional experience working in technical product management, software development, or data science