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Llvm Internship Jobs (NOW HIRING)

Nvidia

OR · On-site

$104K - $143K/yr

Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

Experience with compiler technologies such as MLIR, XLA, and LLVM. * Excellent C/C++ and Python ... A track record of mentoring early career engineers and interns is a bonus With competitive salaries ...

Nvidia

OR · On-site

$122K - $161K/yr

Experience with compiler technologies such as MLIR, XLA, and LLVM. * Excellent C/C++ and Python ... A track record of mentoring early career engineers and interns is a bonus With competitive salaries ...

Nvidia

Senior AI Compiler Engineer, MLIR

Santa Clara, CA · On-site

$143K - $189K/yr

Experience with compiler technologies such as MLIR, XLA, and LLVM. * Excellent C/C++ and Python ... A track record of mentoring early career engineers and interns is a bonus With competitive salaries ...

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139K - $183K/yr

Experience with compiler technologies such as MLIR, XLA, and LLVM. * Excellent C/C++ and Python ... A track record of mentoring early career engineers and interns is a bonus With competitive salaries ...

Intel

Senior Compiler Engineer

Santa Clara, CA · On-site

$149K - $284K/yr

... job experience, internship experience and / or schoolwork/classes/research. The ... LLVM/MLIRexpertise * GPU programming model knowledge * Compiler optimization experience

Nvidia

OR · On-site

$122K - $161K/yr

Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.). * Excellent C/C++ and ... A track record of success in mentoring early-career engineers and interns is a bonus. * Track ...

Nvidia

OR · On-site

$122K - $161K/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

OR · On-site

$104K - $143K/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

$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 ...

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How much do llvm internship jobs pay per hour?

As of Jun 13, 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
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

NVIDIA

Austin, TX • On-site

$103K - $142K/yr

Full-time

Posted 16 days ago

Job description

Job Summary:
NVIDIA is a leader in AI computing and is seeking versatile software engineers for their XLA team. The role involves developing compiler optimization algorithms for deep learning workloads and collaborating with various teams to enhance the performance of next-generation AI systems.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
• Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Preferred:
• 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.
• A history of mentoring junior engineers and interns is a bonus.
• 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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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