Nvidia

Agentic AI Solution Engineering Intern - Fall 2026

US, TX, Austin

Found: Today

This internship is based in Austin, TX.

Compensation:

$20 - $71 per hour

Responsibilities:

  • Collaborate with engineering teams to apply agentic AI technologies.
  • Design and develop agentic AI solutions for the software development lifecycle (SDLC).
  • Maintain benchmarks for evaluating AI performance across various use cases.

Requirements:

  • Pursuing a Master or PhD in Computer Science or related field with a focus on AI.
  • Knowledge in agentic AI, LLMs, and reinforcement learning.
  • Strong programming skills in C/C++ and Python.
  • Experience with AI systems development and deep learning frameworks.

Ways to Stand Out:

  • Hands-on experience with multimodal agentic AI frameworks.
  • Expertise in building and fine-tuning foundation models.

Get jobs like this in your inbox daily

Fresh FAANG jobs, every day, filtered for your role and location.

Apple Google Amazon Meta OpenAI Microsoft Nvidia Stripe TikTok Netflix Uber Airbnb Booking Spotify Canva Pinterest
or use email

Similar Big Tech Jobs - Posted in the Past 24h

🎮 Nvidia

Software Engineering Intern, Mapping Autonomous Vehicles - Fall 2026

US, CA, Santa Clara
🎮 Nvidia

Cloud Distributed Systems Backend Intern, GeForce NOW - Fall 2026

US, CA, Santa Clara
🎮 Nvidia

Cloud Software Intern, GeForce NOW - Fall 2026

US, CA, Santa Clara
Stanislav Prigodich

Hey, I'm Stan

Software Developer & Creator of Top Jobs Today

I'm a software developer, and over time I realized I cared mostly about roles at big tech companies - not just whatever happened to show up on LinkedIn or generic job boards. But those sources weren't enough - some roles were delayed, or never posted at all.

So I built this website to solve that. It scrapes fresh job postings directly from official company sites, figures out what kind of roles they really are, and sends them as email alerts - simple, fast, and focused.

Hope it makes your search easier too. Wishing you the best of luck - and I'm really glad you're here!