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Computer Graphic Internship Jobs in California (NOW HIRING)

Socket.dev

Engineer, New Grad

San Francisco, CA · On-site

$300K/yr

Exposure to CAD, computational geometry, robotics, perception, graphics, game development, or ... Research or internship experience at a high-bar technology company or laboratory. Compensation and ...

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As of Sep 11, 2026, the average hourly pay for computer graphic internship in California is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $18.94 per hour, depending on experience, location, and employer.

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Computer Graphic Internship jobs near you
Infographic showing various Computer Graphic Internship job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $35,433 per year, or $17 per hour.

NVIDIA 2027 Internships: Ph.D. Research Computer Architecture and Systems

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Internship

Posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

By submitting your resume, you acknowledge that your Ph.D. Research Computer Architecture and Systems internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Architecture and Systems teams.

We're seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Learn more about Research at NVIDIA. What you will be doing: Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems that advance computing, graphics, media processing, and related technologies central to NVIDIA's business.

Collaborate with other team members, teams, and/or external researchers. Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

What we need to see: Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered. Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Python, CUDA

Strong background in research with publications at top conferences. Excellent communication and collaboration skills. Potential internships require research experience in at least one of the following areas: Chip-level and System-level Architecture GPU and Multi-GPU Architecture Scalable memory systems and new memory technologies Scalable on-chip and off-chip interconnects Chip-level and system-level scheduling Power, performance, and energy-efficiency in large-scale systems Specialized accelerators for workloads like AI algorithms, crypto algorithms, databases, etc.

Hardware-software co-design Systems for AI/ML Systems Infrastructure for large LLM training and inference Systems/AI algorithms codesign (e.g., for sparsity) AI/ML for systems (hardware design, code optimization, etc.) ML for EDA Programming Systems GPU-accelerated algorithms Languages and programming models for parallel computing Optimizing compilers and AI-based performance assistants Distributed runtime systems Systems software and operating system interfaces Optimizing GPU-accelerated workloads Compilers and code verification High-Performance Networking and Interconnects Large-scale GPU networking Topologies, routing, and congestion control Networking techniques at the intersection of scale-out and scale-up VLSI and Electronic Design Automation (EDA) GPU Accelerated EDA Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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