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Llvm Jobs (NOW HIRING)

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

In this role, you will work directly with LLVM, Clang, MLIR, and related opensource projects to upstream compiler functionality that currently lives in NVIDIA's downstream repositories. Your ...

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

In this role, you will work directly with LLVM, Clang, MLIR, and related opensource projects to upstream compiler functionality that currently lives in NVIDIA's downstream repositories. Your ...

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Senior LLVM Compiler Engineer to join their Compute Compiler Team, focusing on upstream engagement with the LLVM ecosystem and enhancing NVIDIA's compiler technology through ...

Senior LLVM Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

In this role, you will work directly with LLVM, Clang, MLIR, and related opensource projects to upstream compiler functionality that currently lives in NVIDIA's downstream repositories. Your ...

Lead design and development of LLVM-Ripple compiler components , including front-end extensions, middle-end optimizations, back-end code generation, and tooling support. * Architect and implement ...

Strong experience with LLVM development, including IR transformations, back‑end targets, code generation, or compiler toolchain design. * Expertise in parallel programming models, such as: * CUDA

Compiler Engineer LLVM

Natick, MA · On-site

$112K - $144K/yr

Experience with LLVM, MLIR, or other intermediate representations is strong plus. * Experience writing optimizations for deep-learning code generation a is plus.

You will work on an LLVM-based compiler backend that generates optimized GPU binaries for graphics and compute workloads across every Apple device with a GPU. Minimum Qualifications Experience with ...

Responsibilities : • Work primarily in the LLVM community to add features and improve performance for Qualcomm CPUs with a focus on the RISC-V architecture. • Identify areas for improvement in ...

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How much do llvm jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for llvm in the United States is $51.34, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $61.54 per hour, depending on experience, location, and employer.

What is an llvm?

An LLVM job typically involves working with the LLVM compiler infrastructure, a collection of modular and reusable compiler and toolchain technologies. Roles may include developing compiler optimizations, writing backends for different architectures, or working on tools that leverage LLVM for performance analysis and code generation. Professionals in this field often have expertise in compiler design, C/C++, assembly language, and low-level programming.

What types of projects or tasks can an llvm engineer expect to work on within a typical team?

As an LLVM Engineer, you will often work on projects involving the development of language front-ends, optimizing compiler passes, or extending back-end support for new hardware architectures. You'll collaborate with other compiler engineers, systems programmers, and quality assurance teams to identify performance bottlenecks and improve code generation. Depending on the organization, your daily tasks might include code reviews, debugging complex compilation issues, and contributing to open-source or proprietary branches of LLVM. The role frequently involves both individual deep technical work and close teamwork on larger, cross-functional projects.

What are the key skills and qualifications needed to thrive in the llvm position, and why are they important?

To thrive as an LLVM Engineer, you need strong proficiency in C++ programming, compiler theory, and a deep understanding of computer architecture, typically supported by a computer science degree or relevant experience. Familiarity with LLVM toolchains, version control systems like Git, and continuous integration tools is highly valued in this role. Effective problem-solving, strong analytical thinking, and clear written communication set top candidates apart. These skills support the development, optimization, and maintenance of sophisticated compiler infrastructure essential to modern software applications.

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Infographic showing various Llvm job openings in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $106,791 per year, or $51.3 per hour.

Senior LLVM Compiler Engineer

Santa Clara, CA • On-site


Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$122K - $168K/yr

Full-time

Re-posted 23 days ago


Job description

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a focus on upstream engagement with the LLVM ecosystem and advancing NVIDIA's compiler technology through trusted, sustained participation in open-source communities. In this role, you will work directly with LLVM, Clang, MLIR, and related open-source projects to upstream compiler functionality that currently lives in NVIDIA's downstream repositories. Your collaboration with the broader LLVM community to shape designs, influence technical direction, and ensure NVIDIA's needs are met by supplying high-quality, maintainable solutions that benefit the ecosystem as a whole.
We are seeking an experience engineer who proficient in combining deep compiler expertise with a strong appreciation for open-source norms, collaboration, and long-term stewardship. Your influence will come not from authority, but from technical credibility, respect for community processes, and sustained contribution to the health and evolution of the LLVM project. If you are passionate about open-source compiler development, upstreaming real-world production code, and representing NVIDIA as a trusted partner in the LLVM community, we would love to hear from you.
What you will be doing:
  • Work closely with LLVM, Clang, MLIR, and related open-source communities to upstream compiler features, refactors, and infrastructure originating from NVIDIA's downstream codebases
  • Lead and contribute to design discussions, RFCs, and code reviews in upstream communities with an emphasis on long-term maintainability and broad usefulness
  • Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations
  • Advocate for NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement
  • Collaborate with internal compiler teams to identify which downstream capabilities are best suited for upstreaming and how to stage that work effectively
  • Partner with architecture, performance, and product teams to translate NVIDIA hardware and software requirements into upstream-viable compiler solutions
  • Help shape NVIDIA's long-term open-source LLVM strategy, balancing ecosystem health with NVIDIA's platform goals
  • Act as a technical ambassador for NVIDIA within the compiler open-source community, strengthening trust and collaboration over time

What we need to see:
  • B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • 6+ years experience with LLVM, Clang, MLIR, or similar compiler infrastructures
  • Excellent hands-on C++ programming skills
  • Solid understanding of compiler internals, including IR design, transformations, analyses, and code generation pipelines
  • Experience engaging with open-source development workflows, including design discussions, code reviews, and upstream contribution processes
  • Ability to navigate complex technical trade-offs while balancing upstream community expectations with internal product needs
  • Strong communication skills, including technical writing, design articulation, and cross-organizational collaboration

Ways to stand out from the crowd:
  • Proven track record of upstream contributions to LLVM or related open-source compiler projects
  • Experience in successfully upstreaming non-trivial production code from a downstream or proprietary environment
  • Recognition within open-source communities as a trusted contributor or reviewer
  • Background in GPU architectures, CUDA, or parallel programming models
  • Familiarity with deep learning frameworks and performance-critical workloads on NVIDIA GPUs

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 11, 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.

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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


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