ZipRecruiter

Log In

1

Mlir Engineer Jobs (NOW HIRING)

Nvidia

Senior Software Engineer, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/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 ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

MLIR experience is a plus * Experience writing programs that parse, analyze, and mutate programs as ... Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/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 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 LLVM Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/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 ...

Makora

Gpu Kernel Engineer

GPU Kernel Engineer Our R&D team is seeking expert level GPU kernel engineers to help build the ... Experience with machine learning compilers or frameworks such as TVM, MLIR, Pytorch, Tensorflow ...

next page

Showing results 1-20

All JobsMlir Engineer Jobs

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.
More about Mlir Engineer jobs
What cities are hiring for Mlir Engineer jobs? Cities with the most Mlir Engineer job openings:
What states have the most Mlir Engineer jobs? States with the most job openings for Mlir Engineer jobs include:
What job categories do people searching Mlir Engineer jobs look for? The top searched job categories for Mlir Engineer jobs are:
Mlir Engineer jobs near you
Infographic showing various Mlir Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Senior Software Engineer, CUTLASS Platform

Senior Software Engineer, CUTLASS Platform

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted yesterday

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today!

What you'll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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 June 5, 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.
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

View All Nvidia Jobs

Apply