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Internship Computer Chip Engineer Jobs in San Jose, CA

Nvidia

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. * Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Nvidia

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow ...

Etched

Chip Simulation Software Intern

San Jose, CA · On-site

Progress towards a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a ... Program details * 12-week paid internship * Generous housing support for those relocating * Daily ...

Etched

Chip Simulation Software Intern

San Jose, CA · On-site

Progress towards a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a ... Program details * 12-week paid internship * Generous housing support for those relocating * Daily ...

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Internship Computer Chip Engineer information

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$12

$22

$34

How much do internship computer chip engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for internship computer chip engineer in San Jose, CA is $22.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Computer Chip Engineer vs Entry-Level Computer Chip Engineer?

AspectInternship Computer Chip EngineerEntry-Level Computer Chip Engineer
QualificationsCurrently enrolled or recent graduate, some coursework in electrical engineering or computer engineeringBachelor's degree in electrical/computer engineering or related field
Work EnvironmentInternship programs, supervised tasks, learning-focusedFull-time professional role, project responsibilities
Employer & IndustryTech companies, semiconductor firms, research labsSemiconductor companies, tech firms, manufacturing

Internship Computer Chip Engineers are students or recent graduates gaining hands-on experience, often part-time or temporary. Entry-Level Computer Chip Engineers are full-time professionals responsible for designing and testing chips. Internships serve as a stepping stone, while entry-level roles involve more responsibility and independence in the industry.

What are the most commonly searched types of Computer Chip Engineer jobs in San Jose, CA?

The most popular types of Computer Chip Engineer jobs in San Jose, CA are:

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For Internship Computer Chip Engineer jobs in San Jose, CA, the most frequently searched job titles are:

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What cities near San Jose, CA are hiring for Internship Computer Chip Engineer jobs?

Cities near San Jose, CA with the most Internship Computer Chip Engineer job openings:

Internship Computer Chip Engineer jobs near you
Infographic showing various Internship Computer Chip Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $47,084 per year, or $22.6 per hour.

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

Nvidia

Santa Clara, CA

Full-time

Posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

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'reseekingstrategic, ambitious, hard-working,collaborative,and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Learn more aboutResearch 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 couldinclude 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-levelArchitecture

GPU and Multi-GPU Architecture

Scalable memory systemsand 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

Optimizingcompilers and AI-based performance assistants

Distributed runtime systems

Systems software and operating system interfaces

OptimizingGPU-accelerated workloads

Compilersand 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

Clickhereto learn more about NVIDIA, our early talent programs, benefits offered to studentsand other helpful student resources related to our latest technologies and endeavors.

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 38 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications are accepted on an ongoing basis.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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