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Llvm Compiler Jobs (NOW HIRING)

Qualcomm

Compiler Tools Engineer

Austin, TX · On-site

$81K - $109K/yr

We develop LLVM compilation suite for Qualcomm's Hexagon DSP delivering rich performance for ... Improve ML compiler lowering and optimization pipelines for efficient execution on Qualcomm ...

Apple

Apple GPU Compiler Backend Engineer

Cupertino, CA · On-site

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 ...

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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 Staff Compiler Software Engineer

San Jose, CA • Hybrid

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Advanced Micro Devices, Incexternal

$143K - $189K/yr

Full-time

Re-posted 26 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.



THE ROLE

AMD is seeking a Senior Staff Software Engineer to lead compiler development and GPU performance optimization for next-generation AI and compute platforms. You will design compiler technologies using MLIR and LLVM, develop optimized code-generation flows, and work closely with GPU architecture, runtime, and AI framework teams to deliver industry-leading performance.

THE PERSON

The ideal candidate is an experienced technical leader with deep expertise in compiler design, GPU architecture, and performance optimization. You can work across the full compiler stack—from high-level graph and tensor transformations to low-level GPU code generation and kernel tuning. You are comfortable solving complex system problems, influencing technical direction across teams, and applying AI-assisted tools to improve compiler engineering.

KEY RESPONSIBILITIES
  • Design and implement compiler optimizations using MLIR and LLVM for GPU and AI workloads.
  • Develop compiler passes, intermediate representations, lowering pipelines, and target-specific code generation.
  • Optimize graph transformations, operator fusion, tiling, vectorization, memory planning, and kernel scheduling.
  • Analyze generated GPU code and tune kernels for compute utilization, memory bandwidth, cache efficiency, occupancy, and synchronization.
  • Perform end-to-end performance analysis across AI frameworks, compilers, runtimes, libraries, and GPU hardware.
  • Collaborate with GPU architecture teams to enable new hardware features and drive hardware-software co-design.
  • Build profiling, benchmarking, autotuning, and performance-regression infrastructure.
  • Apply AI and coding agents to compiler development, kernel optimization, debugging, test generation, and performance analysis.
  • Provide technical leadership, drive architecture decisions, and mentor engineers across compiler and GPU projects.
PREFERRED QUALIFICATIONS
  • Deep hands-on experience with MLIR, LLVM, compiler optimization, lowering, and code generation.
  • Strong knowledge of compiler architecture, intermediate representations, transformation passes, and optimization pipelines.
  • Strong understanding of GPU architecture, including parallel execution, memory hierarchy, caches, registers, synchronization, and occupancy.
  • Advanced C/C++ skills with experience in HIP, CUDA, or similar GPU programming models.
  • Proven experience profiling and optimizing GPU kernels or compute-intensive AI workloads.
  • Experience with AI compilers, tensor or graph compilers, machine learning frameworks, or high-performance computing.
  • Demonstrated ability to lead complex technical initiatives and deliver measurable improvements in latency, throughput, and hardware utilization.
  • Experience using AI-assisted development tools or applying AI to compiler and kernel optimization.
ACADEMIC CREDENTIALS

Bachelor’s, Master’s, or Doctorate degree in Computer Science, Computer Engineering, or a related field, or equivalent industry experience.

LOCATION: San Jose, California

#LI-DR1

#LI-HYBRID



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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