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Mlir Engineer Jobs (NOW HIRING)

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

DensityAI is a company focused on AI accelerators, and they are seeking a Compiler Engineer to own MLIR dialect design and lowering passes for their AI accelerator. The role involves working with ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

The Compiler Engineer will advance the MLIR ecosystem by extending existing high-level dialects and designing a new hardware-aware low-level dialect, working closely with hardware engineers and ML ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

The Compiler Engineer will advance the MLIR ecosystem by architecting the migration of the existing compiler flow into MLIR and building conversion paths, working closely with hardware engineers and ...

DensityAI

Compiler Engineer - MLIR

Mountain View, CA · On-site

Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns * 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ...

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

$200K - $360K/yr

Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns * 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ...

DensityAI

Compiler Engineer - MLIR

Mountain View, CA · On-site

$200K - $360K/yr

Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns * 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ...

Mythic

Compiler Engineer - MLIR / PyTorch Infrastructure

$110K - $144K/yr

The role involves advancing the MLIR ecosystem by architecting compiler flows and enhancing interoperability with PyTorch and other frameworks. Responsibilities : • Architect the migration of the ...

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Mlir Engineer information

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.

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 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.
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Mlir Engineer jobs near you
Infographic showing various Mlir Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Compiler Engineer -- MLIR

DensityAI

Mountain View, CA • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
DensityAI is a company focused on AI accelerators, and they are seeking a Compiler Engineer to own MLIR dialect design and lowering passes for their AI accelerator. The role involves working with chip-design and software teams to drive the AI accelerator program from first silicon through scale-out.
Responsibilities:
• Own MLIR dialect design and lowering passes for our AI accelerator — defining the high-level tensor IR, async / streaming semantics, and sharded-tensor types that bridge ML frameworks to silicon.
• Use and develop AI-assisted tool flows to accelerate compiler development.
Qualifications:
Required:
• Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns
• 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design experience
• Deep understanding of tensor compilation, distributed / sharded execution, and async / streaming dataflow models
• Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX, TensorFlow, or equivalent)
Preferred:
• LLVM backend experience
• GPU compiler experience (Triton, IREE, XLA, or equivalent)
• open-source MLIR / LLVM contributions
Company:
DensityAI is an infrastructure for data centers serving automotive, robotics, and industrial applications Founded in 2025, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Early Stage.

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