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Llvm Compiler Jobs (NOW HIRING)

Nvidia

Senior Compiler Engineer - Backend GPU

OR · On-site +1

We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for ...

Qualcomm

Compiler Software Engineer

San Diego, CA · On-site

Responsibilities : • Work in the GCC, LLVM, glibc, and related open source communities to add features and improve performance for Qualcomm processors • Identify areas for improvement in compiler ...

SEMRON

Compiler Developer

Austin, TX · On-site

Required : • in-depth knowledge of C++ • hands-on experience in compiler technologies like LLVM Preferred : • experience with machine learning compiler infrastructure like MLIR/IREE or TVM • ...

NVIDIA

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA's HPC compiler group is seeking a Fortran compiler developer to contribute to the ... LLVM Flang, OpenACC, and OpenMP. Responsibilities : • Solve difficult problems at the ...

Qualcomm

Compiler Toolchain Engineer

Austin, TX · On-site

$98K - $148K/yr

We develop the LLVM compilation suite for Qualcomm's Hexagon DSP delivering rich performance for ... We are looking for compiler engineers who will help us build these software platforms. In this role ...

Nvidia

Senior Code Generator Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

MS/ PhD highly desired 3+ years of compiler code generation experience (preferably with LLVM) Proficient hands-on C++ programming skills Strong background in software engineering principles with a ...

Qualcomm

Compiler Toolchain Engineer

Austin, TX · On-site

$98K - $148K/yr

We develop the LLVM compilation suite for Qualcomm's Hexagon DSP delivering rich performance for ... We are looking for compiler engineers who will help us build these software platforms. In this role ...

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Llvm Compiler information

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$178.5K

How much do llvm compiler jobs pay per year?

As of Sep 10, 2026, the average yearly pay for llvm compiler in the United States is $145,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $171,000.00 per year, depending on experience, location, and employer.

What is an LLVM compiler?

An LLVM compiler is a type of compiler that uses the LLVM (Low Level Virtual Machine) framework to translate source code written in programming languages like C, C++, or Swift into machine code that computers can execute. LLVM itself is a collection of modular and reusable compiler and toolchain technologies, which means it can support a wide range of languages and hardware architectures. Compilers based on LLVM are known for their optimization capabilities, modularity, and support for modern programming features. Developers use LLVM compilers to create efficient, high-performance software for a variety of platforms.

What are the key skills and qualifications needed to thrive as an LLVM compiler engineer?

To thrive as an LLVM Compiler Engineer, you need strong expertise in computer science fundamentals, C/C++ programming, and compiler design, typically supported by a relevant degree or equivalent experience. Familiarity with LLVM infrastructure, debugging tools, version control systems (like Git), and often contributions to open-source projects are highly valued. Analytical thinking, problem-solving abilities, and effective communication skills help you collaborate on complex codebases and propose technical solutions. These competencies are crucial for developing reliable, high-performance compiler technologies that support diverse programming languages and platforms.

What are the common challenges faced by engineers working on LLVM compiler development?

Engineers working on LLVM compiler development often encounter challenges such as ensuring code correctness across multiple architectures, keeping up with rapidly evolving language standards, and optimizing for performance without introducing regressions. Collaboration with upstream and downstream projects is common, requiring strong communication skills and familiarity with open-source workflows. Additionally, debugging and testing complex code transformations can be demanding, as small changes in the compiler may have wide-reaching effects on generated binaries.

What is the difference between Llvm Compiler vs C++ Developer?

AspectLlvm CompilerC++ Developer
Required CredentialsKnowledge of compiler design, programming languages, and possibly certifications in software developmentDegree in Computer Science or related field, programming skills in C++
Work EnvironmentTypically in compiler development, software engineering teams, research labsSoftware development teams, tech companies, application development
Industry UsageUsed in compiler construction, language toolchains, performance optimizationDevelops C++ applications, software solutions, system software

While Llvm Compiler focuses on building and optimizing compiler infrastructure, C++ Developers write and maintain C++ applications. Both roles require strong programming skills, but Llvm Compiler specialists often work on low-level system components, whereas C++ Developers focus on application-level coding.

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Llvm Compiler jobs near you
Infographic showing various Llvm Compiler job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,500 per year, or $70 per hour.

Senior Compiler Engineer - Backend GPU

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

Full-time

Re-posted 18 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

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 searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.
What you will be doing:
  • Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs
  • Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler
  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
  • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools
  • Get a chance to influence and work on new GPU architectures

What we need to see:
  • B.S. or higher degree in Computer Science/Engineering or equivalent experience
  • 4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation
  • Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
  • Proficient in compiler design and in performance analysis tools
  • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks
  • Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
  • Good communication and documentation skills and self-motivated

Ways to stand out from the crowd:
  • Masters or PhD preferred, with 5+ years of relevant experience
  • Experience developing compiler optimizations and code generation for GPUs
  • Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
  • You should have strong interpersonal skills and be capable of leading and influencing others in the department

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 August 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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