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Mlir Engineer Jobs in Bothell, WA (NOW HIRING)

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA

$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 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 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

$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 Compiler Engineer - Rust GPU

Seattle, WA · On-site

$139K - $183K/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 ...

Nvidia

Senior Compiler Engineer - Rust GPU

Seattle, WA · On-site

$139K - $183K/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 ...

Nvidia

Deep Learning Compiler Engineer

Redmond, WA · On-site

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

Nvidia

Deep Learning Compiler Engineer

Redmond, WA · On-site

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

Targeted Talent

Compiler Tech Lead

Seattle, WA

$50K - $64K/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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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.

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 56% In-person, 15% Hybrid, and 29% Remote job distribution.

Senior AI Compiler Engineer, MLIR

Seattle, WA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

$139K - $183K/yr

Full-time

Posted 17 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

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-based AI compiler that powers NVIDIA's inference engine end to end, with a focus on performance, fast builds, low memory use, and Ahead-of-Time and Just-in-Time usability across data center and edge.

What you'll be doing:

  • 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 features.

  • Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work.

What we need to see:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Experience with compiler technologies such as MLIR, XLA, and LLVM.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and testing.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Strong interpersonal skills and the ability to thrive in a fast-moving, dynamic, product-oriented team.

Ways to stand out from the crowd:

  • Understanding of deep learning models, algorithms, and frameworks such as PyTorch and JAX.

  • Experience with GPU kernel generation targeting high performance and fast build times.

  • Proficiency in GPU architecture with CUDA or OpenCL programming experience.

  • A track record of mentoring early career engineers and interns is a bonus

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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

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Pay

Benefits

Hours and flexibility

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