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Computer Science Fall Internship Jobs in California

Netflix

$110/hr

Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or ... Internships at Netflix At Netflix, we offer a personalized experience for interns, and our aim is ...

Astra Space, Inc.

2026 Fall Interns

Alameda, CA · On-site

$22/hr

General Disciplines (Accounting, Finance, Marketing, HR, Business Management, IT, Computer Science ... Hands-on project experience through internships, research, senior design projects, or ...

ASTRA

2026 Fall Interns

Alameda, CA · On-site

$22/hr

General Disciplines (Accounting, Finance, Marketing, HR, Business Management, IT, Computer Science ... Hands-on project experience through internships, research, senior design projects, or ...

Astra Space, Inc.

2026 Fall Interns

Alameda, CA · On-site

$22/hr

General Disciplines (Accounting, Finance, Marketing, HR, Business Management, IT, Computer Science ... Hands-on project experience through internships, research, senior design projects, or ...

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Computer Science Fall Internship information

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$12.2K

$51.3K

$103.8K

How much do computer science fall internship jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer science fall internship in California is $51,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,314.00 and $55,816.00 per year, depending on experience, location, and employer.

What is a computer science fall internship?

A Computer Science Fall Internship is a temporary position, typically offered to students or recent graduates, that allows individuals to gain practical experience in the field of computer science during the fall semester. Interns work with companies or organizations on real-world projects, often involving software development, data analysis, or IT support. These internships help participants develop technical skills, build professional networks, and enhance their resumes for future job opportunities.

What types of projects and technologies do computer science fall interns typically work on during their internship?

Computer science fall interns often get the chance to work on a variety of hands-on projects, such as developing new software features, debugging existing code, or contributing to data analysis tasks. The specific technologies you might use can range from programming languages like Python or Java to tools such as Git, cloud platforms, or machine learning libraries, depending on the company. Interns usually work closely with full-time engineers and may participate in agile team meetings, code reviews, and collaborative problem-solving sessions. This exposure helps interns build both technical and teamwork skills, while also giving them insight into the software development lifecycle.

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

To thrive as a Computer Science Fall Intern, you need foundational knowledge in programming languages, algorithms, and data structures, typically supported by progress toward a computer science degree. Familiarity with version control systems like Git, integrated development environments (IDEs), and common frameworks or libraries is frequently required. Strong problem-solving abilities, eagerness to learn, and effective communication set exceptional interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly to new technologies, and collaborate efficiently within development teams.

What is the difference between Computer Science Fall Internship vs Software Developer Intern?

AspectComputer Science Fall InternshipSoftware Developer Intern
Required CredentialsEnrolled in a computer science or related programEnrolled in a computer science or related program
Work EnvironmentAcademic institutions, tech companies, startupsTech companies, software firms, startups
Employer & Industry UsageUniversities, tech companies, industry projectsPrimarily tech companies, software development firms
Common Search & ComparisonYesYes

The main difference is that a Computer Science Fall Internship is a broader program often offered by universities or companies to students in computer science, focusing on gaining general industry experience. A Software Developer Intern typically refers specifically to roles focused on software development tasks within tech companies. Both roles require similar educational backgrounds but differ mainly in scope and focus.

What are popular job titles related to Computer Science Fall Internship jobs in California?

For Computer Science Fall Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Science Fall Internship jobs in California look for?

The top searched job categories for Computer Science Fall Internship jobs in California are:

Computer Science Fall Internship jobs near you
Infographic showing various Computer Science Fall Internship job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,346 per year, or $24.7 per hour.

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

Los Gatos, CA • On-site

Netflix
Arts, Entertainment, and Recreation • 5 - 10K employees
Learn more about Netflixexternal

$110/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 79 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Role
Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system.
During the internship, you will:
  • Explore GS model compression strategies using open datasets
  • Contribute to early thinking on additional dataset needs for representative scenes.
  • Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets
  • Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency
  • Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest

Who Are You?
  • Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, with an expected graduation date in June 2027 or later.
  • Thrives working in complex, dynamic, and fast-moving environments.
  • Strong software development skills and feels comfortable with software engineering best practices (e.g., version control, testing, code review, etc.).
  • Successful track record in research of 3D/4D scene reconstruction, novel-view synthesis, Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer vision.
  • Solid understanding of machine learning and deep learning concepts, with hands-on experience training and evaluating ML models.
  • Able to program fluently in Python

Nice to Have:
  • Familiarity with real-time rendering and GPU programming (CUDA, WebGL, graphics pipelines).
  • Background in video compression, streaming systems, or codec standards such as HEVC and AV1.
  • Involvement in open-source multimedia or graphics projects.
  • Experience with large-scale distributed systems and cloud computing.

To learn more about our team, check out some of our tech blogs:
  • https://netflixtechblog.com/av1-now-powering-30-of-netflix-streaming-02f592242d80
  • https://netflixtechblog.com/av1-scale-film-grain-synthesis-the-awakening-ee09cfdff40b
  • https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c
  • https://netflixtechblog.com/toward-a-practical-perceptual-video-quality-metric-653f208b9652
  • https://netflixtechblog.com/per-title-encode-optimization-7e99442b62a2

Internships at Netflix
At Netflix, we offer a personalized experience for interns, and our aim is to mimic what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.
Internships are paid and are a minimum of 12 weeks,. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for Netflix Internships is typically $40/hour - $110/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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