Technical Program Management Intern - Deep Learning Software - Summer 2026

We are looking for an ambitious and innately curious person to be our Technical Program Manager for Deep Learning Software Intern! You will work with engineering and product leaders on planning and execution of large-scale programs to develop and publish software for training and inference applications using various types of neural networks. You will drive the development process and coordinate work between multiple organizations, customers, and researchers. Your work will enable NVIDIA’s customers to employ industry leading AI and ML in their products, spanning almost every possible industry.

What you'll be doing:

• Help teams implement and follow software development life cycle principles for deep learning projects

• Maintain program schedules to measure release health, predictability, and achievements

• Regularly communicate program status and key issues to senior management at NVIDIA

• Help coordinate efforts between development teams, product managers, and solution architects

• Facilitate meetings with engineering and products team members

What we need to see:

• Pursuing a BS/MS/PhD in CE, CS, or a related field

• Excellent communication and effective presentation skills with a proven ability to articulate a value proposition to technical and non-technical audiences

• Excellent organizational skills and ability to use project management tools (e.g. Jira, Confluence, Aha!) and distributed version control systems (e.g. Git)

• Ability to multitask, quickly switch context, and be thorough

• Strong problem-solving skills

• Programming experience using any modern programming language

• Understanding of software engineering principles, continuous integration/development, and quality assurance

Ways to stand out from the crowd:

• Technical background with machine learning and deep learning algorithms/frameworks and open-source software

• Experience with technologies that support reporting (pivot tables, charts, JQL, macros), Jupyter Notebooks or alternatives, and Markdown, YAML, or LaTeX

• Previous experience with Agile methodologies (Scrum, Kanban, SAFe, LeSS, Business Agility)