Agentic AI Solution Engineering Intern - Fall 2026

Nvidia

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Work type
On-site
Location
Austin, TX
Employment
Intern
Posted
7 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $206k
$158k most similar roles pay here $253k

This listing doesn't post a salary. Most similar roles pay $167,249–$244,000.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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At a glance

TL;DR · Agentic AI Solution Engineering Intern - Fall 2026

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Join our dynamic team as an Agentic AI intern at NVIDIA to develop innovative multi-modal agentic AI solutions that accelerate software design, code generation, performance optimization, and testing across the entire SDLC. You will collaborate with internal teams to identify high-impact opportunities for applying agentic AI technologies, lead the design and development of cutting-edge solutions, and establish benchmarks to evaluate their effectiveness in diverse use cases. Ideal candidates are pursuing a Master’s or PhD in Computer Science with a focus on AI and LLMs, possessing strong skills in C/C++ and Python, deep expertise in building and fine-tuning foundation models, hands-on experience with multimodal agentic AI frameworks, and the ability to effectively communicate complex technical concepts.

Skills

Python C/C++ LLMs Reinforcement Learning Deep Learning Frameworks Multimodal Agentic AI Frameworks CI/CD

What you'll do

  • Lead the design of agentic AI solutions to enhance software development processes.
  • Identify high-impact opportunities for applying agentic AI technologies within engineering teams.
  • Develop benchmarks to evaluate performance of agentic AI across SDLC use cases.
  • Build, train, and fine-tune foundation models for agentic AI systems.
  • Design and execute evaluations for AI model performance in diverse scenarios.

What we're looking for

  • Master’s or PhD degree in Computer Science with a focus on AI and LLMs.
  • Proficient in agentic AI, LLMs, reinforcement learning, and programming languages/compilers.
  • Hands-on experience with deep learning frameworks and modern inference stacks.
  • Strong C/C++ and Python programming skills.
  • Experience designing, executing, and analyzing AI model evaluation and benchmarking.

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