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 ...
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 ...
Compiler Engineer - MLIR / PyTorch Infrastructure
Austin, TX · On-site
$106K - $139K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
Austin, TX · On-site
$106K - $139K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer -- MLIR
Mountain View, CA · On-site
$200K - $360K/yr
About the role 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 ...
Quick apply
Compiler Engineer -- MLIR
Mountain View, CA · On-site
$200K - $360K/yr
About the role 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 ...
Compiler Engineer - MLIR / PyTorch Infrastructure
Austin, TX · Remote
$110K - $144K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Quick apply
Compiler Engineer - MLIR / PyTorch Infrastructure
Austin, TX · Remote
$110K - $144K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
Palo Alto, CA · On-site
$126K - $165K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
Palo Alto, CA · On-site
$126K - $165K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
$106K - $139K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
$106K - $139K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
$126K - $165K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
$126K - $165K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Compiler Engineer - MLIR / PyTorch Infrastructure
Palo Alto, CA · Remote
$110K - $144K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Quick apply
Compiler Engineer - MLIR / PyTorch Infrastructure
Palo Alto, CA · Remote
$110K - $144K/yr
About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that ...
Senior AI Compiler Engineer, MLIR
Seattle, WA · On-site
$139K - $183K/yr
The role involves building an MLIR-based AI compiler that enhances NVIDIA's inference engine, focusing on performance and usability across data centers and edge environments. Responsibilities : • ...
Senior AI Compiler Engineer, MLIR
Seattle, WA · On-site
$139K - $183K/yr
The role involves building an MLIR-based AI compiler that enhances NVIDIA's inference engine, focusing on performance and usability across data centers and edge environments. Responsibilities : • ...
Senior AI Compiler Engineer, MLIR
Santa Clara, CA · On-site
$143K - $189K/yr
The role involves building an MLIR-based AI compiler that enhances NVIDIA's inference engine, focusing on performance and usability across data centers and edge environments. Responsibilities : • ...
Senior AI Compiler Engineer, MLIR
Santa Clara, CA · On-site
$143K - $189K/yr
The role involves building an MLIR-based AI compiler that enhances NVIDIA's inference engine, focusing on performance and usability across data centers and edge environments. Responsibilities : • ...
Senior AI Compiler Engineer, MLIR
Santa Clara, CA · On-site
$143K - $189K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Santa Clara, CA · On-site
$143K - $189K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
OR · On-site
$122K - $161K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Seattle, WA · On-site
$139K - $183K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Seattle, WA · On-site
$139K - $183K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Austin, TX · On-site
$121K - $160K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Austin, TX · On-site
$121K - $160K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Santa Clara, CA · On-site
$143K - $189K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior AI Compiler Engineer, MLIR
Santa Clara, CA · On-site
$143K - $189K/yr
Develop MLIR-based graph representations and optimizations for future GPU architectures. * Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural ...
Senior Software Engineer, Deep Learning - MLIR TRT
Santa Clara, CA · On-site
$143K - $189K/yr
MLIR, Triton) without forgoing performance * Work with customers to help accelerate their workloads on NVIDIA platforms. * Stay up to date with the latest research and innovations in deep learning ...
Senior Software Engineer, Deep Learning - MLIR TRT
Santa Clara, CA · On-site
$143K - $189K/yr
MLIR, Triton) without forgoing performance * Work with customers to help accelerate their workloads on NVIDIA platforms. * Stay up to date with the latest research and innovations in deep learning ...
MLIR, Triton) without forgoing performance * Work with customers to help accelerate their workloads on NVIDIA platforms. * Stay up to date with the latest research and innovations in deep learning ...
MLIR, Triton) without forgoing performance * Work with customers to help accelerate their workloads on NVIDIA platforms. * Stay up to date with the latest research and innovations in deep learning ...
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
Quick apply
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
Mlir information
What is MLIR and what is it used for?
MLIR (Multi-Level Intermediate Representation) is an open-source compiler infrastructure project developed by the LLVM community. It provides a flexible and extensible intermediate representation framework, which is used to build reusable and modular compiler components for a wide range of domains, such as machine learning, hardware acceleration, and domain-specific languages. MLIR enables developers to create custom dialects and transformations, making it easier to optimize and target various hardware architectures. Its primary goal is to facilitate the development of high-performance and portable compilers.
What are the key skills and qualifications needed to thrive as an MLIR (Multi-Level Intermediate Representation) developer, and why are they important?
To thrive as an MLIR developer, you need a strong background in compiler theory, C++ programming, and familiarity with LLVM infrastructure, typically supported by a degree in computer science or a related field. Experience with tools such as the MLIR framework, LLVM, and related build systems like CMake is highly valuable. Analytical thinking, problem-solving, and effective collaboration are important soft skills for innovating and working within open-source or cross-functional teams. These skills ensure the efficient design and optimization of compiler components, driving advancements in machine learning and hardware support.
What is the difference between Mlir vs Machine Learning Engineer?
| Aspect | Mlir | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Technical knowledge of compiler infrastructure, programming skills in C++/Python | Degree in Computer Science, Data Science, or related fields; experience with ML frameworks |
| Work Environment | Research and development in compiler and software infrastructure teams | Developing, testing, and deploying machine learning models in various industries |
| Employer & Industry Usage | Tech companies, AI research labs, compiler development firms | Tech companies, startups, AI-focused organizations |
| Common Search & Comparison Intent | Understanding technical roles in compiler infrastructure | Learning about careers in machine learning and AI |
While Mlir focuses on compiler infrastructure and software development for optimizing machine learning models, Machine Learning Engineers primarily design and implement ML models for practical applications. Both roles require technical expertise, but Mlir is more specialized in compiler technology, whereas Machine Learning Engineers work directly on AI solutions.
How does an engineer working with MLIR typically collaborate with different teams in a product development environment?
Engineers specializing in MLIR (Multi-Level Intermediate Representation) often work closely with compiler teams, hardware architects, and machine learning researchers to optimize and integrate new features. Collaboration frequently involves participating in design discussions, code reviews, and cross-functional meetings to align on performance goals and implementation strategies. These engineers also contribute to open-source projects and may mentor junior team members or coordinate with external contributors. Working in such a dynamic and interdisciplinary environment helps ensure that MLIR tools remain robust, efficient, and aligned with evolving hardware and ML frameworks.
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Full-time
Posted 8 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 building a new generation of AI accelerators around a novel memory architecture. Founded in , the company is headquartered in Mountain View, CA, US, , with a team of 11-50 employees. The company is currently Early Stage.
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 building a new generation of AI accelerators around a novel memory architecture. Founded in , the company is headquartered in Mountain View, CA, US, , with a team of 11-50 employees. The company is currently Early Stage.