ZipRecruiter

Log In

1

Internship Gpu Programming Jobs in California (NOW HIRING)

Intel

Senior Compiler Engineer

Santa Clara, CA

$149.60K - $284.58K/yr

Develop, enhance, test, debug, release, andmaintaincompiler software for Intel's GPU programming ... job experience, internship experience and / or schoolwork/classes/research. The ...

Intel Corporation

Senior Compiler Engineer

Santa Clara, CA · On-site

$149.60K - $284.58K/yr

Develop, enhance, test, debug, release, and maintain compiler software for Intel's GPU programming ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

Intel

AI Software Engineering Intern

Folsom, CA

... GPU programming, and performance optimization. Contributes to the design, development, and ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

Intel

GPU Logic Design Engineer

Folsom, CA

As a GPU Logic Design Engineer, you will play a vital role in developing cutting-edge graphics IPs ... internship experiences and or schoolwork/classes/research. For information on Intel's immigration ...

Intel

GPU Logic Design Engineer

Santa Clara, CA

As a GPU Logic Design Engineer, you will play a vital role in developing cutting-edge graphics IPs ... internship experiences and or schoolwork/classes/research. For information on Intel's immigration ...

Nvidia

Senior GPU Memory Architect

Santa Clara, CA · On-site

This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

Intel

GPU Power Architect

Folsom, CA · On-site

$122.44K - $232.19K/yr

This is your opportunity to collaborate with top-tier engineers, spearhead innovation, and drive ... D., gained through a combination of industry roles, internships, and/or academic coursework or ...

Intel Corporation

GPU Power Architect

Folsom, CA · On-site

$122.44K - $232.19K/yr

This is your opportunity to collaborate with top-tier engineers, spearhead innovation, and drive ... D., gained through a combination of industry roles, internships, and/or academic coursework or ...

next page

Showing results 1-20

People also search for

All JobsInternship Gpu Programming JobsInternship Gpu Programming Jobs in California

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 California? The most popular types of Gpu Programming jobs in California are:
What are popular job titles related to Internship Gpu Programming jobs in California? For Internship Gpu Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Gpu Programming jobs in California look for? The top searched job categories for Internship Gpu Programming jobs in California are:
What cities in California are hiring for Internship Gpu Programming jobs? Cities in California with the most Internship Gpu Programming job openings:
Internship Gpu Programming jobs near you
Infographic showing various Internship Gpu Programming job openings in California as of May 2026, with employment types broken down into 40% Internship, 40% Full Time, and 20% Part Time. Highlights an 90% In-person, and 10% Remote job distribution.
Senior Compiler Engineer

Senior Compiler Engineer

Intel

Santa Clara, CA

$149.60K - $284.58K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

9th of 137 rated electronics manufacturers

Job description

Job Details:Job Description: 

This is an excellentopportunityto join Intelif you are interested inworkingonGPU compiler technologies.

The Role and Impact
Join us in shaping the future ofcutting-edgecompiler technologies at Intel. As a Senior Compiler Engineer, you will play a critical role in defining, designing, and advancing software tools for domain-specific programming languages. Collaborating closely with hardware design teams andInteldevelopment community, your contributions will directlyimpactIntel's next-generation GPUarchitectures. By driving innovations in compiler design and optimization, you will enable transformative performance and efficiency gains, empowering groundbreaking applications in AI and high-performance computing.

Core Responsibilities

  • Develop, enhance, test, debug, release, andmaintaincompiler software for Intel's GPU programming models, including OpenCL, SYCL, OpenMP, and more
  • Design and integrate intermediate representation (IR) interfaces between front-end components and the Intel Graphics Compiler
  • Create and implement optimization algorithms to maximize code performance and efficiency
  • Collaborate with GPU hardware architects to define new microarchitecture features and instruction set architecture (ISA) for future Intel GPUs
  • Conduct generated code analysis to identify inefficiencies and propose compiler optimizations or hardware enhancements
  • Evaluate workload performance,identifybottlenecks, and refine compilation technology to address advanced use cases
  • Author technical specifications, design documents, and contribute to innovation through patents
Qualifications:

The Minimum qualifications arerequiredto be initially considered for this position.Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferredqualifications are in addition to theminimumrequirements and are considered a plus factor inidentifyingtop candidates.

MinimumQualifications

  • Bachelor's in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or in a STEM related field
  • 5+ yearsofexperience in C/C++ programming, data structures, and object-oriented programming principles
  • 2+years of experience in compiler architecture, compilation phases, and code optimizations
  • Experience usingdevelopment tools (e.g.GitHub, Jira,CMake, etc.)
  • Experiencein scripting languages (e.g.Python or Shell)
  • Experiencedeveloping software on Linux and Windows environments

Preferred Qualifications

  • Post graduate Degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or in a STEM related field
  • LLVM/MLIRexpertise
  • GPU programming model knowledge
  • Compiler optimization experience
  • Performance tuning skills

Why This Role Matters

This position offers the opportunity to work oncutting-edgecompiler technology that directlyimpacts:

  • AI and machine learning performance
  • High-performance computing applications
  • Future GPU architecture development
  • Industry-leading optimization techniques

The role combines deep technical compiler work with collaborative hardware-software co-design, making it ideal for engineers passionate about both compiler technology and GPU computing.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, California, Santa ClaraAdditional Locations:Business group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.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 TrustN/ABenefits

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: $149,600.00-284,580.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location 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

View All Intel Jobs

Apply