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Mlir Engineer Jobs in Bothell, WA (NOW HIRING)

NVIDIA

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

Responsibilities : • Work closely with LLVM, Clang, MLIR, and related open‑source communities ... D. in Computer Science, Computer Engineering, or related field (or equivalent experience) • 6+ ...

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

$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 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 ... MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and ...

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 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 ...

Targeted Talent

Compiler Tech Lead

Seattle, WA

$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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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 are popular job titles related to Mlir Engineer jobs in Bothell, WA? For Mlir Engineer jobs in Bothell, WA, the most frequently searched job titles are:
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 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Senior Compiler Optimization Engineer - MLIR

Nvidia

Redmond, WA

$117K - $160K/yr

Full-time

Posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world

We are looking for an experienced Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars. Our compiler organization makes its mark on every GPU NVIDIA produces. We need you as a key member of a team that is working on a core compiler component for accelerating general purpose computation on the GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. See your efforts in action as HPC and DL developers use features and optimizations to achieve the best performance of their applications. If this sounds like a fun challenge, we want to hear from you!

What you will be doing:

  • Analyze the performance of application code running on NVIDIA GPUs with the aid of profiling tools.

  • Identify opportunities for performance improvements in the MLIR/LLVM based compiler middle end optimizer.

  • Identify and Implement novel ideas in the compilation pipeline to enable overall best-in-class performance of AI workloads.

  • Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools.

  • Interact with Open-source LLVM community to ensure tighter integration.

  • Work with geographically distributed compiler, hardware and application teams to oversee improvements and problem resolutions.

  • Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages.

What we need to see:

  • B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience).

  • 8+ years experience in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations.

  • Excellent hands-on C++ programming skills.

  • Understanding of any Processor ISA (GPU ISA would be a plus).

  • Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems.

  • Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:

  • Masters or PhD preferred

  • Experience in developing applications in CUDA or other parallel programming language.

  • Deep understanding of parallel programming concepts.

  • MLIR, LLVM and/or Clang compiler development experience.

  • Familiarity with deep learning frameworks and NVIDIA GPUs.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

Year founded

1993

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