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Mlir Engineer Jobs (NOW HIRING)

Nvidia

Senior Compiler Engineer

OR · On-site +1

$104K - $143K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and ...

New

NVIDIA Corporation

$152 - $242/hr

We are redefining how developers write high-performance GPU software by bringing the safety ... Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and ...

New

Nvidia

Senior Software Engineer, CUTLASS Platform

Redmond, WA · On-site

$137K - $180K/yr

Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL ... Strong proficiency in C++ programming and software design, including debugging, performance ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL ... Strong proficiency in C++ programming and software design, including debugging, performance ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL ... Strong proficiency in C++ programming and software design, including debugging, performance ...

Nvidia

Senior Deep Learning Compiler Engineer - XLA

OR · On-site +1

$104K - $143K/yr

Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI ... Working closely with GPU hardware engineering teams to design AI compiler software features for ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/yr

Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL ... Strong proficiency in C++ programming and software design, including debugging, performance ...

Nvidia

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and ...

New

Nvidia

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 ... We are seeking an experience engineer who proficient in combining deep compiler expertise with a ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$240K - $280K/yr

MLIR experience is a plus * Experience writing programs that parse, analyze, and mutate programs as ... Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC ...

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Mlir Engineer information

What is an MLIR engineer?

An MLIR Engineer is a software engineer who specializes in working with the Multi-Level Intermediate Representation (MLIR) compiler framework. MLIR is an open-source project designed to provide a flexible and extensible infrastructure for building domain-specific compilers and optimizing machine learning workloads. MLIR Engineers typically design, implement, and optimize compiler passes, dialects, and transformations to improve the performance and portability of machine learning models across different hardware architectures. They often collaborate with machine learning researchers, compiler engineers, and hardware teams to enable efficient model deployment.

What are the key skills and qualifications needed to thrive as an MLIR engineer, and why are they important?

To thrive as an MLIR Engineer, you need a solid background in compiler theory, C++ programming, and experience with machine learning frameworks or intermediate representations. Familiarity with LLVM, the MLIR ecosystem, and version control systems like Git is typically required, as well as a relevant degree in computer science or a related field. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These qualifications and skills are crucial for building robust compiler infrastructure, collaborating across teams, and ensuring efficient support for diverse machine learning workloads.

What are some common challenges faced by MLIR engineers when integrating new dialects into existing compiler infrastructures?

MLIR Engineers often encounter challenges such as ensuring compatibility between new dialects and existing IR components, maintaining performance optimizations, and avoiding redundancy or conflicts in transformations. Integrating a new dialect requires deep understanding of both the MLIR ecosystem and the target hardware or frameworks, which can be complex due to rapid evolution in machine learning compilers. Close collaboration with backend and frontend teams is essential to address integration issues and to ensure that new dialects meet project requirements and performance goals.

What is the difference between Mlir Engineer vs Compiler Engineer?

AspectMlir EngineerCompiler Engineer
Required CredentialsBachelor's or Master's in Computer Science, experience with MLIR, compiler frameworksBachelor's or Master's in Computer Science, strong programming skills, compiler theory knowledge
Work EnvironmentResearch labs, tech companies focusing on AI/ML, compiler development teamsSoftware development firms, tech companies, open-source projects
Industry UsageAI/ML hardware optimization, compiler infrastructure, MLIR frameworkSoftware optimization, language development, system software

Both roles involve working with compiler technologies, but Mlir Engineers specialize in the MLIR framework and its applications in AI/ML hardware optimization, while Compiler Engineers focus broadly on compiler design and implementation across various software systems.

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Mlir Engineer jobs near you
Infographic showing various Mlir Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Software Development Engineer

Advanced Micro Devices, Inc

San Jose, CA • On-site

$127K/yr

Full-time

Re-posted 22 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

26th of 161 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we'll advance your career.
THE ROLE
AMD is seeking a Senior Software Development Engineer to develop and optimize software for next-generation AI and GPU computing platforms. You will work across GPU kernel development, performance optimization, AI frameworks, runtime systems, and compiler technologies to deliver industry-leading performance for AI and high-performance computing workloads.
THE PERSON
The ideal candidate has strong experience in GPU programming, performance analysis, and systems software development. You understand how AI workloads execute on modern GPU hardware and can identify performance bottlenecks across kernels, runtime, libraries, and compiler-generated code. Experience with MLIR/LLVM-based compiler flows is valuable but not the primary focus of the role.
KEY RESPONSIBILITIES
  • Develop and optimize GPU kernels for AI and compute workloads.
  • Analyze and improve GPU performance, including compute utilization, memory bandwidth, cache efficiency, and kernel execution.
  • Collaborate with AI framework, runtime, library, and hardware teams to improve end-to-end workload performance.
  • Profile, benchmark, and debug large-scale AI workloads on AMD GPU platforms.
  • Support compiler-driven optimizations and code generation using LLVM and MLIR-based technologies.
  • Improve performance analysis, testing, benchmarking, and automation infrastructure.
  • Enable and optimize new GPU hardware capabilities through software innovation.
  • Apply AI-assisted development tools to improve productivity, debugging, and optimization workflows.

PREFERRED QUALIFICATIONS
  • Strong C/C++ development skills.
  • Experience with HIP, CUDA, OpenCL, or other GPU programming models.
  • Strong understanding of GPU architecture, parallel programming, memory hierarchy, synchronization, and performance optimization.
  • Hands-on experience profiling and optimizing AI, machine learning, HPC, or graphics workloads.
  • Experience with performance analysis tools and benchmarking methodologies.
  • Knowledge of LLVM, MLIR, compiler optimization, or code generation techniques.
  • Experience with AI frameworks such as PyTorch, ONNX Runtime, TensorFlow, or similar ecosystems.
  • Strong problem-solving and debugging skills across software and hardware stacks.

ACADEMIC CREDENTIALS:
  • Bachelor's or Master's degree in Computer/Software Engineering, Computer Science, or related technical discipline

This role is not eligible for visa sponsorship.
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.

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