
Pioneering accelerated computing and AI
Software Engineering Intern, AI Tools - Fall 2026 at NVIDIA
About the role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.
NVIDIA is looking for a highly motivated Software Engineer intern to join its dynamic and fast-paced Tools and Infrastructure team. Join our innovative AI team for an internship focused on the exciting field of AI tools and Agentic AI. This role offers a unique opportunity to work hands-on with Large Language Models (LLMs) and orchestration frameworks (e.g., Lang Chain) to design, build, and deploy intelligent, autonomous agents and AI tools that solve real-world problems. You will be an integral part of a team pushing the boundaries of generative and autonomous systems, gaining exposure to the full lifecycle of agent development, from conceptual design and prompt engineering to testing and production deployment. Work at the forefront of technical innovation with some of the best in the industry by crafting, developing, and deploying AI tools, agents to improve developer productivity across all of NVIDIA's organizations.
Whatyouwillbedoing:
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Agent Development & Prototyping: Design and rapidly prototype LLM-powered agents that exhibit planning, reasoning, memory, and tool-use capabilities to automate complex, multi-step tasks.
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Prompt Engineering: Craft, refine, and test high-performance prompts, instructions, and system messages to guide agent behavior and optimize task completion accuracy.
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Orchestration & Integration: Work with agent orchestration frameworks to connect agents with internal and external APIs, databases, and knowledge bases (e.g., Vector DBs for RAG) to enable real-time actions.
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Testing and Evaluation: Develop metrics and meticulous testing workflows to benchmark agent performance, reliability, and safety across various use cases.
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Documentation: Maintain clear user documentation of agent architectures, workflows, and experimental results.
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Research & Exploration: Stay ahead with the latest developments in generative AI, agent architectures, and multi-agent systems, and propose innovative applications for business challenges.
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Collaborations: You will thrive being in the critical path supporting thousands of developers, working for billion-dollar business lines - with responsiveness, thoroughness and collaboration
Whatweneedtosee:
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Pursuing a BS, MS or PhD with a focus on Computer Science, Computer Engineering, or a related field
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Conceptual understanding of LLMs, Generative AI, and core Machine Learning concepts.
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Demonstrated passion or basic project experience with Agentic AI concepts (e.g., RAG, MCP, multi-step planning, or using frameworks like Lang Chain/Llama Index).
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Familiarity with software development guidelines, including version control (Git/GitHub) and basic testing/debugging.
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Problem solving and analytical thinking, with strong algorithmic, design and debugging skills
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Proficient in at least one programming language such as C, C++, C#, Java, or Python (Python preferred)
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Experience with writing and consuming APIs, and working with web application frameworks
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Strong verbal and written communication skills
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Curiosity about different areas of software engineering and an eagerness to leave your comfort zone
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An eagerness for learning and working on the cutting edge of technology
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until May 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Required skills
LLMs
Agentic AI
Software engineering
Prompt engineering
AI tooling
Prototyping
Testing
Deployment
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
10 reviews
4.4
10 reviews
Work-life balance
2.8
Compensation
4.5
Culture
4.2
Career
4.3
Management
3.8
78%
Recommend to a friend
Pros
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
Cons
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
Salary Ranges
79 data points
L3
L4
L5
L3 · Data Scientist IC2
0 reports
$177,542
total per year
Base
-
Stock
-
Bonus
-
$150,910
$204,174
Interview experience
5 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
Latest updates
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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