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Mlir Engineer Jobs (NOW HIRING)

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 ...

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 ...

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

$240K - $275K/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

$240K - $275K/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 ...

Nvidia

Senior AI Compiler Engineer, MLIR

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Nvidia

Senior AI Compiler Engineer, MLIR

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139K - $183K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139K - $183K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

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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.

Compiler Engineer - MLIR / PyTorch Infrastructure

Mythic

Remote

$110K - $144K/yr

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Mythic is building the future of AI computing with breakthrough analog technology. 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 ML developers to enhance interoperability with PyTorch and other frameworks.
Responsibilities:
• Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies.
• Build conversion paths between MLIR and Mythic’s custom low-level IR to keep both flows operational during migration.
• Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging.
• Enable compilation by extending MLIR integration across analog accelerators and digital subsystems.
• Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR)
Qualifications:
Required:
• 3+ years of experience in compiler or high-performance systems development.
• Proficiency in modern C++ (C++14/17/20) and Python.
• Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines.
• Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations.
Preferred:
• Experience architecting complete MLIR flows: from frontend dialects down to hardware-aware dialects, including conversion to and from existing IRs.
• Familiarity with PyTorch compiler technologies, especially Torch-MLIR and integration paths with PyTorch 2.0 (TorchDynamo, TorchInductor).
• Knowledge of dataflow architectures, scheduling, and memory orchestration.
• Background in heterogeneous or specialized accelerators (e.g., analog compute, NPUs, GPUs, DSPs).
Company:
Mythic develops analog matrix processors and key cards based on analog compute-in-memory. Founded in 2012, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Early Stage.

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