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Remote Llvm Compiler Jobs (NOW HIRING)

ZK Proof Engineer

New York, NY · On-site +1

$125K - $250K/yr

Our office is in NYC and working in person in NY is our strong preference, but we're open to remote ... Bonuses * You have experience with compiler frameworks like LLVM or MLIR. * You've worked with ...

Senior Staff Software Engineer

San Diego, CA · On-site +1

$171K - $300K/yr

This role requires deep expertise in compiler and runtime systems -- you'll optimize execution ... Experience with LLVM, language runtime development, or low-level systems engineering (strong plus)

Senior Staff Software Engineer

San Diego, CA · On-site +1

$171K - $300K/yr

This role requires deep expertise in compiler and runtime systems - you'll optimize execution ... Experience with LLVM, language runtime development, or low-level systems engineering (strong plus)

Senior Staff Software Engineer

San Diego, CA · On-site +1

$171K - $300K/yr

This role requires deep expertise in compiler and runtime systems - you'll optimize execution ... Experience with LLVM, language runtime development, or low-level systems engineering (strong plus)

Remote Llvm Compiler information

See salary details

$109.5K

$145.5K

$178.5K

How much do remote llvm compiler jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote 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 a remote LLVM compiler?

Remote LLVM Compiler jobs involve working with the LLVM compiler infrastructure, a collection of modular and reusable compiler and toolchain technologies, while operating from a remote location. Professionals in this role typically work on developing, optimizing, or maintaining compiler backends, frontends, or related tools. These positions require strong proficiency in programming languages such as C++ and a deep understanding of compiler theory. Remote LLVM Compiler engineers collaborate with distributed teams using version control, code review, and other remote collaboration tools. The flexibility of remote work allows them to contribute to open-source or proprietary compiler projects from anywhere.

What skills and qualifications are needed to thrive as a remote LLVM compiler engineer?

To thrive as a Remote LLVM Compiler Engineer, you need strong expertise in C/C++ programming, compiler theory, and a solid understanding of the LLVM infrastructure, typically demonstrated by a degree in computer science or a related field. Familiarity with version control systems like Git, build systems such as CMake, and experience contributing to or working with the LLVM project are essential technical qualifications. Excellent problem-solving skills, self-motivation, and effective remote communication are critical soft skills for success in this role. These skills enable high-quality code contributions, seamless collaboration with distributed teams, and innovative compiler development.

What are common challenges faced by remote LLVM compiler engineers, and how can they be addressed?

Remote LLVM Compiler engineers often encounter challenges such as coordinating complex code changes with geographically dispersed team members and maintaining effective communication during debugging or code reviews. To address these, it's important to leverage collaborative tools like version control systems, code review platforms, and regular video meetings. Establishing clear documentation and coding standards within the team also helps streamline workflows and ensures consistency. Additionally, being proactive in asking questions and sharing updates helps maintain alignment and fosters a supportive remote environment.

What is the difference between Remote Llvm Compiler vs Remote Software Engineer?

AspectRemote Llvm CompilerRemote Software Engineer
Required credentialsKnowledge of compiler design, C/C++, LLVM toolsDegree in CS or related field, programming skills
Work environmentDevelopment teams focused on compiler/tool developmentSoftware development across various applications
Industry usageCompiler and systems software companiesTech, finance, healthcare, and more
Search intentCompiler development, LLVM, code optimizationSoftware development, coding, project management

The Remote Llvm Compiler role specializes in compiler development and optimization using LLVM tools, requiring expertise in compiler design and low-level programming. In contrast, a Remote Software Engineer has a broader scope, working on various software projects across industries. While both roles require programming skills, the compiler role focuses more on system-level work, whereas the software engineer role covers a wide range of applications.

More about Remote Llvm Compiler jobs

What cities are hiring for Remote Llvm Compiler jobs?

Cities with the most Remote Llvm Compiler job openings:

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The most popular types of Llvm Compiler jobs are:

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For Remote Llvm Compiler jobs, the most frequently searched job titles are:

Infographic showing various Remote 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.

Sr. Software Engineer - AI Triton Communication

San Jose, CA • On-site, Remote

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

$143K - $189K/yr

Full-time

Re-posted 2 days ago


Key responsibilities

  • Design and develop native distributed communication and execution capabilities within the Triton AMDGPU backend to enable scalable multi-GPU execution for large-scale AI workloads

  • Implement Triton compiler and runtime mechanisms for native GPU-initiated communication, including collective operations, remote memory access, synchronization, and distributed execution primitives

  • Analyze, profile, and debug complex cross-stack issues spanning Triton compiler, runtime, ROCm stack, and GPU hardware execution


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 162 rated electronics manufacturers


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: 

Triton is a widely adopted language and compiler for high-performance GPU kernels, powering major AI frameworks such as PyTorch, vLLM, and SGLang. As AI workloads increasingly scale across multiple GPUs and nodes, first-class support for distributed execution and communication in Triton is strategically critical to enabling efficient large-scale training and inference on AMD Instinct Accelerators.
 
AMD GPUs are an official Triton backend, and delivering industry-leading distributed performance and scalability on AMD Instinct accelerators is a key priority. The performance, scalability, and usability of Triton directly impact the competitiveness of AMD hardware in large-scale AI deployments.
 
In this role, you will advance the Triton compiler and runtime stack for AMD CDNA and next-generation GPU architectures by building native distributed execution and communication capabilities. You will develop compiler and runtime infrastructure that enables efficient inter-GPU communication, scalable execution, and optimal hardware utilization. You will work across compiler, runtime, and hardware layers, collaborating closely with GPU architecture and software teams to help establish AMD GPUs as a best-in-class platform for Triton-based distributed AI.

THE PERSON: 

The ideal candidate has deep expertise in GPU architecture, compiler technologies, and distributed GPU systems, with proven experience optimizing workloads at multi-GPU scale. You are comfortable working across the full execution stack — from compiler and runtime to hardware — and understand how GPU execution, memory hierarchy, and inter-GPU communication impact performance.
 
You have experience working close to the GPU runtime, communication stack, or compiler backend, and are motivated to build native distributed execution and communication capabilities tightly integrated with the compiler and runtime to maximize scalability and hardware utilization. You thrive on solving complex system-level performance challenges and delivering scalable, high-performance GPU infrastructure.

KEY RESPONSIBILITIES: 

  • Design and develop native distributed communication and execution capabilities within the Triton AMDGPU backend, enabling scalable multi-GPU execution for large-scale AI workloads
  • Design and implement Triton compiler and runtime mechanisms for native GPU-initiated communication, including collective operations, remote memory access, synchronization, and distributed execution primitives
  • Drive performance optimization across compute and communication, including inter-GPU data movement, communication/computation overlap, memory hierarchy utilization, and GPU-driven scheduling efficiency
  • Develop and optimize distributed Triton kernels and execution models to achieve high performance, scalability, and efficient hardware utilization for AI workloads
  • Analyze, profile and debug complex cross-stack issues spanning Triton compiler, runtime, ROCm stack, and GPU hardware execution
  • Collaborate closely with GPU architecture, compiler, runtime, and performance teams to co-design and enable next-generation distributed GPU programming and execution capabilities
  • Contribute to open-source Triton and ROCm distributed ecosystem, driving innovation in distributed GPU computing

PREFERRED EXPERIENCE: 

  • Deep experience in compiler development, GPU software, distributed systems, or performance engineering
  • Familiarity or hands-on experience with Triton compiler and runtime
  • Deep understanding of modern GPU architectures, including execution model, memory hierarchy (LDS, L2, HBM), scheduling, occupancy, and hardware performance characteristics
  • Good understanding of GPU runtime systems, communication stacks, and multi-GPU interconnects such as XGMI, NVLink, PCIe, or InfiniBand and their performance implications 
  • Familiarity with distributed GPU communication libraries such as RCCL, NCCL, NVSHMEM, rocSHMEM, or MPI and similar technologies
  • Experience developing, optimizing, and scaling workloads across multiple GPUs, including inter-GPU communication, synchronization, and communication/computation overlap
  • Strong experience with GPU programming using Triton, HIP, CUDA, or similar parallel programming environments
  • Strong knowledge of MLIR and/or LLVM internals
  • Experience profiling, debugging, and optimizing performance across compiler, runtime, and hardware layers
  • Familiarity with ROCm, HIP, CUDA, or similar GPU programming ecosystems, including performance profiling and optimization tools
  • Experience optimizing large-scale AI, machine learning or HPC workloads across multi-GPU systems
  • Experience contributing to open-source projects and working in collaborative, cross-functional engineering environments
  • Strong problem-solving, communication, and technical leadership skills

PREFERRED ACADEMIC CREDENTIALS: 

  • Bachelor’s or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent practical experience

 LOCATION: San Jose, CA 

This role is not eligible for visa sponsorship.


#LI-G11

#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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