1

Llvm Internship Jobs (NOW HIRING)

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 ...

Software Development Engineer, Hydro

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ... on compilers (LLVM, GraalVM, etc.) or modern build tools (Nix, Bazel, etc.) PREFERRED ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$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 ...

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 ...

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 ...

Showing results 21-32

Llvm Internship information

See salary details

$11

$19

$29

How much do llvm internship jobs pay per hour?

As of Aug 17, 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 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 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 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.

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.

More about Llvm Internship jobs

What cities are hiring for Llvm Internship jobs?

Cities with the most Llvm Internship job openings:

What are the most commonly searched types of Llvm jobs?

The most popular types of Llvm jobs are:

What states have the most Llvm Internship jobs?

States with the most job openings for Llvm Internship jobs include:

What job categories do people searching Llvm Internship jobs look for?

The top searched job categories for Llvm Internship jobs are:

Infographic showing various Llvm Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Hardware Tools Engineer

aijoblist

San Francisco, CA • On-site

$225 - $445/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the Team

OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production‑grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

You will develop and evolve the tooling ecosystem that hardware engineers rely on every day - from hardware compilers and IR transformations to simulation, debugging, and automation infrastructure. The work spans software engineering, compiler concepts, and practical hardware workflows, with direct impact on how quickly and effectively we design next‑generation AI systems.

You'll collaborate closely with architects, RTL designers, and verification engineers to translate real engineering friction into durable, scalable tooling solutions.

In this role you will:
  • Build and improve the software tooling that makes hardware teams faster: compilation, IR transforms, RTL generation, simulation, debug, and automation.
  • Extend and integrate hardware compiler stacks (frontends, IR passes, lowering, scheduling, codegen to Verilog/SystemVerilog) and connect them to real design workflows.
  • Improve developer experience and reliability: reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure.
  • Work closely with designers and verification engineers to turn real pain points into durable tools.
  • Dive into RTL when needed: read and reason about Verilog/SystemVerilog to debug issues, validate tool output, and improve debuggability.
  • Be willing to go all the way down the stack when necessary, including gate‑level views, synthesis results, and implementation artifacts.
  • Help enable PPA optimization loops by building analysis and automation around area, timing, and power tradeoffs, and by improving tooling that impacts those outcomes.
You might thrive in this role if:
  • Demonstrated ability to build and maintain software (projects, internships, research, open source, or equivalent experience).
  • Strong CS fundamentals: data structures, algorithms, debugging, and software design.
  • Proficiency in at least one of Rust, C++, or Python (and willingness to learn the rest).
  • Familiarity with digital design concepts and the ability to read RTL (Verilog/SystemVerilog) or equivalent hardware descriptions.
  • Familiarity with compiler or IR‑based ideas (representations, passes, transformations, lowering), through coursework or projects.
  • Comfort operating in ambiguity and iterating quickly with users of your tools.
Nice to have skills:
  • Exposure to compiler and hardware toolchains such as XLS/DSLX, LLVM, Chisel/FIRRTL, CIRCT/MLIR, other novel hardware languages (e.g. HardCaml, SpinalHDL, Spade, PyMTL, Clash, BlueSpec, PyRope)
  • Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling around them.
  • Experience with build and test infrastructure (Bazel, CI systems, fuzzing, performance testing).
  • Prior work touching synthesis, place and route, static timing analysis, or other PPA‑related workflows.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI's Aff…

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $225K - $445K

#J-18808-Ljbffr