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NVIDIA

Designs the chips and software that power AI

Strategic Partnerships MBA Intern - Enterprise GTM

Business Development & PartnershipsConfirmed live in the last 24 hours
Internship · Winter 2027, Summer 2028$38 - $94 /hrIn-person

About the Job

Requirements

  • Pursuing an MBA or possessing equivalent experience, with graduation in Winter 2027 or Summer 2028.
  • Have 5 or more years of work experience, including at least 2 years in product management, software development, business development, sales, sales engineering, or customer support.
  • Have experience building and managing partnerships, including developing the business case, partnership agreements, solution definition, value proposition, sales enablement, and joint marketing.
  • Have strong analytical, marketing, and project management skills and a record of successful project execution.
  • Be capable of articulating considerations in foundational technical and business decisions.
  • Have experience in product management, pricing, market intelligence, product marketing, business development, or related areas.
  • Have enterprise software industry knowledge and proficiency in IT infrastructure technologies.
  • Have a demonstrated record of defining go-to-market strategy and projects to drive revenue and growth.
  • Be aware of technology trends and their potential influence.
  • Have strong cross-functional collaboration skills.
  • Have high attention to detail, be action-oriented, and be able to work within stringent deadlines.
  • Have strong problem-solving skills, take initiative to identify current and potential problems, and determine the best solution.

Responsibilities

  • Identify potential mutually beneficial strategic partnerships that drive NVIDIA software, hardware, and services offerings.
  • Work with strategic partners to build go-to-market plans that drive mutual success, including revenue.
  • Identify opportunities to integrate NVIDIA offerings with strategic partners to craft differentiated software solutions, unique value propositions, and effective co-selling motions for joint customers.
  • Work with NVIDIA Sales and Channel teams to incubate and drive early mutual success with partnerships.
  • Provide insight into segments and channels to help core Product Managers build product strategy.
  • Work with sales, product management, marketing, and other teams to build insight into specific channels and market segments for leading partnerships.
  • Build relationships with channel and original equipment manufacturer partners, understand their ecosystems and technical solutions, learn the value NVIDIA enterprise software products add to their businesses and solutions, and understand their growth challenges.
  • Articulate end-to-end ecosystems in specific segments or with partners, the problems customers and partners need to solve, their challenges, and the role and value of NVIDIA products.

Desired Qualifications

  • Cloud and business development experience is a strong plus.
  • An undergraduate degree in Computer Science or Engineering.
  • Experience with Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
  • Experience as a software developer, product manager, sales engineer, or customer support or engineering professional.
  • Working knowledge of machine learning, deep learning, and high-performance computing.
  • Ability to explain key differences and benefits of popular large language models and artificial intelligence/machine learning frameworks.
  • Proven ability to lead and drive cross-organization teams to gather and present information to diverse groups.
  • Ability to influence in matrixed organizations.
  • Strong communication and presentation abilities.

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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