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Internship Gpu Programming Jobs in Arizona (NOW HIRING)

Programming languages such as Python and C++, and experience with AI frameworks and libraries like ... Internship length: 6 - 12 m Job Type:Student / Intern Shift:Shift 1 (United States of America ...

Debug and optimize training runs - Profile training jobs, resolve bottlenecks, improve GPU ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

Debug and optimize training runs - Profile training jobs, resolve bottlenecks, improve GPU ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

New

Internship Gpu Programming information

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.
What are the most commonly searched types of Gpu Programming jobs in Arizona? The most popular types of Gpu Programming jobs in Arizona are:
What cities in Arizona are hiring for Internship Gpu Programming jobs? Cities in Arizona with the most Internship Gpu Programming job openings:
Infographic showing various Internship Gpu Programming job openings in Arizona as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.
AI Software Engineering Intern

AI Software Engineering Intern

Intel Corporation

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 155 rated electronics manufacturers


Job description

Job Details:
Job Description:
Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardwaresoftware integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as systemlevel deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through handson experience and projects that support Intel business goals in a collaborative environment.
Qualifications:
This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with at least three years of post-degree related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor's degree and less than three years' experience.
Minimum Qualifications:
Available to work part-time for 6-12 months and to work onsite for the duration of the internship while pursuing a degree.
Pursuing a BS in the field of Computer Science , Electrical Engineering , Math or Computer Engineering or Data Science with 3+ months of experience in:
Programming languages such as Python and C++, and experience with AI frameworks and libraries like PyTorch, TensorFlow, ONNX Runtime, and OpenVINO.
Preferred Qualifications
  • Graphics experience (GPU / CUDA)

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Internship length: 6 - 12 m
Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $101,100.00-136,800.00 USD (Hourly Role)
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968