
Pioneering accelerated computing and AI
AI for Chip Design Intern - Summer 2026
Required skills
Python
Machine Learning
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s an outstanding legacy of innovation that’s fueled by phenomenal technology—and outstanding people! As part of Nvidia’s applied LLM chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at Nvidia and throughout the industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you’re passionate about the latest research and innovative technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you will be doing:
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Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications that transform chip design.
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Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
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Make a difference by leveraging AI technologies to solve sophisticated problems in chip design, driving innovation and meaningful impact across the industry.
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Join a dynamic, collaborative team where creativity and fresh ideas are encouraged.
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Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
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Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
What we need to see:
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Pursuing MS or PhD in Electrical Engineering, Computer Science/Engineering, or a related subject area
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Proficiency in rapid prototyping using languages like Python (preferred), with strong foundational knowledge of data structures, algorithms, and software engineering principles.
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Familiarity with large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks.
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Familiarity with LLM post-training using reinforcement learning and reasoning, Agent post-training and long-horizon alignment, speculative decoding, Test-time scaling and adaptive compute.
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Strong analytical, communication, and interpersonal skills, with a proven track record to thrive in dynamic, product-focused, and distributed teams.
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A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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 March 14, 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.
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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
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7 reports
$170,275
total per year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
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.
reddit/blind
·
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.
reddit/blind
·
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.
reddit/blind
·
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.
reddit/blind
·