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Internship Opencl Jobs (NOW HIRING)

Intel

Senior Compiler Engineer

Santa Clara, CA

$149.60K - $284.58K/yr

... OpenCL, SYCL, OpenMP, and more * Design and integrate intermediate representation (IR) interfaces ... job experience, internship experience and / or schoolwork/classes/research. The ...

Nvidia

OR

$104.40K - $143.40K/yr

CUDA or OpenCL programming experience is desired but not required. * Experience with the following ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

Nvidia

OR

$122.40K - $161.30K/yr

CUDA or OpenCL programming experience. * Understanding of deep learning models, algorithms and ... A track record of success in mentoring early-career engineers and interns is a bonus. * Track ...

Nvidia

OR

$122.40K - $161.30K/yr

CUDA or OpenCL programming experience. * Understanding of deep learning models, algorithms and ... A track record of success in mentoring early-career engineers and interns is a bonus. * Track ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103.60K - $142.20K/yr

CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Intel Corporation

Senior Compiler Engineer

Santa Clara, CA · On-site

$149.60K - $284.58K/yr

... OpenCL, SYCL, OpenMP, and more * Design and integrate intermediate representation (IR) interfaces ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

Nvidia

OR

$104.40K - $143.40K/yr

CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Intel

AI Performance Library Architect

Folsom, CA · On-site

$170.50K - $315.49K/yr

Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred ... internship experiences and/or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Intel

GPU Software Development Engineer

Hillsboro, OR · On-site

... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160.70K/yr

CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

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How much do internship opencl jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for internship opencl in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Opencl vs Internship CUDA?

AspectInternship OpenclInternship CUDA
Required CredentialsBasic programming skills, knowledge of parallel computingBasic programming skills, knowledge of parallel computing, some familiarity with NVIDIA hardware
Work EnvironmentCross-platform, supports various hardware vendorsNVIDIA-specific hardware and software environment
Industry UsageUsed in diverse industries for hardware-agnostic parallel processingPrimarily used in industries leveraging NVIDIA GPUs for high-performance computing
Search & Comparison IntentCommonly compared for cross-platform development opportunitiesCompared for NVIDIA-specific GPU development roles

Internship Opencl focuses on cross-platform parallel programming, suitable for various hardware vendors, while Internship CUDA is tailored for NVIDIA GPU development. Both roles require foundational programming skills, but CUDA internships often demand familiarity with NVIDIA hardware. The choice depends on the target hardware environment and industry needs.

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What are the most commonly searched types of Opencl jobs? The most popular types of Opencl jobs are:
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Internship Opencl jobs near you
Infographic showing various Internship Opencl job openings in the United States as of May 2026, with employment types broken down into 13% Internship, 1% As Needed, 83% Full Time, 2% Temporary, and 1% Contract. Highlights an 92% Physical, 6% Hybrid, and 2% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Senior Compiler Engineer, AI Inference Platforms

Senior Compiler Engineer, AI Inference Platforms

Nvidia

Santa Clara, CA

$143.90K - $189.70K/yr

Full-time

Posted 9 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AI, recommendation systems, image classification, speech recognition, etc. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA's inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.

What we need to see:

  • Bachelor's, Master's or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Understanding of deep learning models, algorithms and frameworks, such as PyTorch, JAX.

  • GPU kernel authoring and performance analysis using tools such as Nsight Compute.

  • A track record of success in mentoring early-career engineers and interns is a bonus.

  • Track record on new hardware bring-up is a plus.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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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