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Llvm Internship Jobs (NOW HIRING)

NVIDIA AI

Senior Compiler Engineer - DL

Santa Clara, CA · On-site

$122K - $168K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... interns is a bonus Company : Explore the latest breakthroughs made possible with AI. Founded in ...

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

$225K - $445K/yr

Demonstrated ability to build and maintain software (projects, internships, research, open source ... Exposure to compiler and hardware toolchains such as XLS/DSLX, LLVM, Chisel/FIRRTL, CIRCT/MLIR ...

Nvidia

Senior Compiler Engineer - DL

Santa Clara, CA

$143K - $189K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Compiler Engineer - DL

Austin, TX · On-site

$121K - $160K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Compiler Engineer - DL

Redmond, WA

$137K - $180K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

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Llvm Internship information

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$11

$19

$29

How much do llvm internship jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for llvm internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What types of projects do LLVM interns typically work on, and how do these projects contribute to their professional development?

LLVM interns often work on real-world compiler infrastructure projects, ranging from implementing new language features to optimizing code generation and improving tooling. These projects are usually open-source and collaborative, providing interns with opportunities to contribute meaningful code that is reviewed and integrated by experienced LLVM developers. As a result, interns gain hands-on experience with large codebases, learn industry-standard development workflows, and build a strong portfolio of contributions. Additionally, working closely with mentors and peers fosters both technical growth and valuable networking within the compiler community.

What is an LLVM internship?

An LLVM internship is a temporary position, typically aimed at students or recent graduates, that provides hands-on experience working on the LLVM compiler infrastructure project. Interns work alongside experienced developers to contribute to open-source tools and libraries related to compilers, code generation, and program analysis. These internships often involve tasks such as writing code, fixing bugs, adding new features, and participating in code reviews. The goal is to help interns develop practical skills in systems programming, compiler theory, and large-scale software development. It's a valuable opportunity for those interested in low-level programming and open-source projects.

What is the difference between Llvm Internship vs Compiler Engineer?

AspectLlvm InternshipCompiler Engineer
Required CredentialsTypically pursuing a CS degree or related fieldBachelor's or master's in CS, often with experience in compiler development
Work EnvironmentInternship programs in tech companies or open-source projectsFull-time professional role in software development teams
Industry UsageUsed for learning and gaining experience in compiler technologiesDesigning, developing, and optimizing compilers and related tools

The Llvm Internship is an entry-level position aimed at students or early-career individuals gaining experience in compiler technologies. In contrast, a Compiler Engineer is a full-time professional responsible for developing and maintaining compiler software. While both roles involve working with compiler tools, internships focus on learning and skill development, whereas compiler engineering involves advanced technical responsibilities.

What are the key skills and qualifications needed to thrive as an LLVM Intern, and why are they important?

To thrive as an LLVM Intern, you need strong programming skills in C++ and a solid understanding of compiler theory and computer architecture, often demonstrated by coursework or personal projects. Familiarity with LLVM's codebase, version control systems like Git, and build tools such as CMake is typically expected. Excellent problem-solving abilities, collaboration, and effective communication help you stand out in this role. These skills and qualities are essential for contributing meaningful code, working within a global open-source community, and learning from experienced compiler engineers.
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Llvm Internship jobs near you
Infographic showing various Llvm Internship job openings in the United States as of June 2026, with employment types broken down into 17% Internship, 7% As Needed, 70% Part Time, 3% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Redmond, WA

$117K - $160K/yr

Full-time

Posted 7 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 versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.

What you will be doing:

In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:

  • Crafting and implementing compiler optimization techniques for deep learning network graphs.

  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.

  • Performance tuning and analysis.

  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.

  • Designing user facing features in JAX and related libraries and other general software engineering work.

  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).

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

  • Ability to work independently, define project goals and scope, and lead your own development effort adopting clean software engineering and testing practices.

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

  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.

  • CUDA or OpenCL programming experience is desired but not required.

  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:

  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.

  • Extensive experience with CUDA or with GPUs in general.

  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

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 March 1, 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.#deeplearning
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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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