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Cs Intern Jobs in California (NOW HIRING)

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Product Operations Intern

San Francisco, CA · On-site

We are hiring a Product Operations Intern based in the Bay Area who will work alongside customer ... Build internal tooling to improve CS and product operations - automate repetitive workflows, create ...

Aembit, Inc.

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$17.75 - $23.50/hr

The Opportunity We are looking for a Technical Marketing Intern to build the AI engine behind our ... A builder mindset: you are a CS student interested in growth and marketing, or a highly technical ...

Marvin Test Solutions

Student Engineer

Irvine, CA · On-site

We are looking for a part time (15-25 hrs/wk) second- or third-year intern majoring in Electrical Engineering, Physics, CS or ME with a high level of organizational skills. Required Recent Experience ...

StudyFetch

Engineering Intern

Beverly Hills, CA · On-site

$3.5K/mo

Currently enrolled in a bachelor's program in CS or a related field (rising junior or senior preferred) * Comfortable with JavaScript or TypeScript, and able to read code you didn't write * Genuinely ...

Palantir

As an intern within Palantir's Foundations organization, you'll have the opportunity to grow more ... to CS recently, or are a hackathon enthusiast - you'll build your skills to apply the best ...

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Showing results 21-40

All JobsCs Intern JobsCs Intern Jobs in California

Cs Intern information

See California salary details

$8

$16

$23

How much do cs intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for cs intern in California is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What types of projects and tasks can a CS intern expect to work on during their internship?

As a Computer Science Intern, you can expect to work on a variety of projects that may include software development, debugging, code reviews, and testing new features. Interns often collaborate with experienced engineers on real-world applications, gaining exposure to the full software development lifecycle. You might also participate in team meetings, contribute to documentation, and present your work to stakeholders. The exact responsibilities can vary depending on the company, but you'll typically be assigned tasks that help build both your technical and professional skills in a supportive environment.

What are the key skills and qualifications needed to thrive as a CS intern, and why are they important?

To thrive as a CS Intern, you need a foundation in computer science principles, programming languages (such as Python, Java, or C++), and problem-solving abilities, typically supported by ongoing or completed coursework in computer science or a related field. Familiarity with version control systems like Git, software development environments, and sometimes cloud platforms or databases is important. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and contribute effectively to projects. These skills ensure you can actively participate in development tasks, collaborate with teams, and gain valuable industry experience during your internship.

What is the difference between Cs Intern vs Software Developer Intern?

AspectCs InternSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as Cs Intern, often with coding coursework or projects
Work EnvironmentTech companies, startups, or IT departmentsSoftware development teams, tech firms, startups
Employer & Industry UsageCommon in tech and IT sectorsPrimarily in software development and tech industries
Search & Comparison IntentOften compared for entry-level tech internshipsSimilar roles, but more focused on software coding tasks

Both Cs Intern and Software Developer Intern roles are entry-level positions in the tech industry, requiring similar educational backgrounds and offering experience in coding and software projects. The main difference lies in the job focus: Cs Interns may have a broader scope in computer science concepts, while Software Developer Interns focus more on coding and software development tasks.

What is a CS intern?

CS Interns, or Computer Science Interns, are students or recent graduates who work temporarily at a company to gain practical experience in computer science fields such as software development, IT, data analysis, or cybersecurity. Their responsibilities may include coding, debugging, assisting with projects, and learning from experienced professionals. These internships are typically part-time or full-time and can be paid or unpaid, providing valuable hands-on experience that complements academic learning. CS Internships help students build professional networks, enhance their resumes, and increase their chances of securing a full-time job after graduation.
What are the most commonly searched types of Cs jobs in California? The most popular types of Cs jobs in California are:
What cities in California are hiring for Cs Intern jobs? Cities in California with the most Cs Intern job openings:
Cs Intern jobs near you
Infographic showing various Cs Intern job openings in California as of August 2026, with employment types broken down into 20% Internship, 1% As Needed, 54% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $34,972 per year, or $16.8 per hour.

PhD Research Intern, System Software and I/O Architecture - Fall 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 18 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies

Job description

We are now looking for a PhD Research Intern with a focus in System Software and I/O Architecture!


NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, inference and database GPU systems, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company.


What you'll be doing:

  • Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.
  • Understand and analyze the interplay between application, operating systems, CPU and GPU architectures, and efficient algorithm designs.
  • Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups.
  • Publish original research and speak at conferences and events.

What we need to see:

  • Currently pursuing a Ph.D. in CE/CS/EE or similar program area.
  • Research experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
  • Research experience designing and optimizing accelerated computing applications, with expertise in areas such as LLM inference, GPU-native database engines, and vector similarity search algorithms.
  • Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.
  • Experience with experimental computer architecture research, software infrastructure development and evaluation.
  • A track record of well-documented open-source software release.
  • Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.

Ways to stand out from the crowd:

  • Experience with C, C++, CUDA, Python, Rust, and scripting languages. MPI and NCCL would be a plus.
  • Strong interpersonal skills and being a creative and dynamic presenter is a huge advantage.
  • A strong publication, patent, presentation, and research collaboration history is highly valuable.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, 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 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until June 28, 2026.

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.#deeplearning

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

Year founded

1993

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