1

Internship Gpu Programming Jobs (NOW HIRING)

Helping define team research topics, goals, and guiding other researchers and interns. What we need ... Strong coding skills with knowledge of C/C++, GPU programming models, parallel programming, and ...

Algorithm Engineer (E)

Milpitas, CA · On-site

$136K - $231K/yr

Having GPU programming skill is a good plus. Having optical or electron-beam inspection related ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Algorithm Engineer (E)

Milpitas, CA · On-site

$136K - $231K/yr

Having GPU programming skill is a good plus. Having optical or electron-beam inspection related ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

For one of the roles, the individual should have multiple years of experience working with GPU ... experience, including internships will be considered) for one of the roles and more senior ...

Algorithm Engineer (E)

Milpitas, CA · On-site

$136K - $231K/yr

... GPU programming skill is a good plus. • Having optical or electron-beam inspection related ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

For one of the roles, the individual should have multiple years of experience working with GPU ... experience, including internships will be considered) for one of the roles and more senior ...

next page

Showing results 1-20

Internship Gpu Programming information

See salary details

$13

$25

$38

How much do internship gpu programming jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for internship gpu programming in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship GPU Programming, and why are they important?

To thrive as an Internship GPU Programming, you need a solid background in computer science, mathematics, and programming languages such as C++ and Python, often supported by coursework or personal projects in parallel computing. Familiarity with GPU programming frameworks like CUDA or OpenCL and version control systems (e.g., Git) is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate with teams and troubleshoot complex issues. These skills and qualities are essential for efficiently developing, optimizing, and debugging GPU-accelerated applications in a fast-paced, technical environment.

What types of projects or tasks can an intern expect to work on in a GPU programming internship?

As a GPU programming intern, you can expect to work on tasks such as optimizing existing code for GPU acceleration, developing parallel algorithms using CUDA or OpenCL, and assisting in the profiling and debugging of GPU applications. Interns often collaborate with researchers and software engineers to implement new features or improve the performance of computational workflows. You may also contribute to documentation and testing, gaining exposure to real-world applications in fields like machine learning, scientific computing, or graphics rendering.

What is an Internship in GPU Programming?

An Internship in GPU Programming is a temporary position, often held by students or recent graduates, where individuals gain hands-on experience working with Graphics Processing Units (GPUs) to develop, optimize, and accelerate software applications. Interns typically work on projects involving parallel computing, machine learning, graphics rendering, or scientific simulations using programming languages such as CUDA or OpenCL. These internships provide an opportunity to learn from experienced engineers, contribute to real-world projects, and develop specialized skills that are valuable in technology and research industries.
More about Internship Gpu Programming jobs
What cities are hiring for Internship Gpu Programming jobs? Cities with the most Internship Gpu Programming job openings:
What are the most commonly searched types of Gpu Programming jobs? The most popular types of Gpu Programming jobs are:
What states have the most Internship Gpu Programming jobs? States with the most job openings for Internship Gpu Programming jobs include:
Infographic showing various Internship Gpu Programming job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 23% Full Time, 58% Part Time, 12% Contract, and 2% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

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

Netflix

Los Gatos, CA

$110/hr

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 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

Hours and flexibility

Workplace

Get the full story on Breakroom


Netflix logo

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