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Mlir Engineer Jobs in Bothell, WA (NOW HIRING)

NVIDIA

Senior Software Engineer, CUTLASS Platform

Redmond, WA · On-site

$137K - $180K/yr

They are seeking a Senior Software Engineer to develop core components of the CUTLASS platform, contributing to the advancement of the MLIR-based backend compiler stack and collaborating with various ...

NVIDIA AI

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA · On-site

$112K - $152K/yr

Responsibilities : • Design and implement compiler transformations • Develop MLIR-based ... D. in Computer Science, Computer Engineering or a related field (or equivalent experience) • 3+ ...

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 LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/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 ...

Nvidia

Senior DL Compiler Engineer -CUDA Tile

Redmond, WA

$137K - $180K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ... MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and ...

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Redmond, WA · On-site

$137K - $180K/yr

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ... You will design and implement compiler transformations, develop MLIR-based dialects and lowering ...

NVIDIA

Senior GPU Compiler Development Engineer

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA is seeking experienced Systems SW Compiler Engineers for their PTX Compiler Development team ... MLIR Company : NVIDIA is a computing platform company operating at the intersection of graphics ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ... engineers and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...

NVIDIA

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

... MLIR-based compiler development, including optimization passes, code generation, or frontend integration. • Experience building or integrating LLM-based systems, agents, or developer tooling in ...

Google

Senior Software Engineer, GPU Performance

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products ... MLIR, Triton, etc.). Company : Google specializes in internet-related services and products ...

Targeted Talent

Compiler Tech Lead

Seattle, WA · On-site

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... Experience with MLIR and spatial computing architectures * Driven and self-directed * Proficiency ...

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All JobsMlir Engineer JobsMlir Engineer Jobs in Bothell, WA

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.
What job categories do people searching Mlir Engineer jobs in Bothell, WA look for? The top searched job categories for Mlir Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Mlir Engineer jobs? Cities near Bothell, WA with the most Mlir Engineer job openings:
Mlir Engineer jobs near you
Infographic showing various Mlir Engineer job openings in Bothell, WA as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Senior Software Engineer, CUTLASS Platform

Senior Software Engineer, CUTLASS Platform

NVIDIA

Redmond, WA • On-site

$137K - $180K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
NVIDIA is a leading technology company driving the AI revolution through high-performance computing platforms. They are seeking a Senior Software Engineer to develop core components of the CUTLASS platform, contributing to the advancement of the MLIR-based backend compiler stack and collaborating with various teams to enhance GPU hardware features.
Responsibilities:
• Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
• Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.
• Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.
• Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.
Qualifications:
Required:
• Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 3+ years of relevant industry experience.
• Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.
• Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.
• A deep understanding of computer architecture and parallel computing programming models.
Preferred:
• Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.
• Hands-on compiler design experience, particularly in MLIR.
• Understanding of deep learning models, algorithms, and frameworks.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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