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Mlir Engineer Jobs (NOW HIRING)

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$100K - $500K/yr

In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team ... Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ...

Ericsson

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Grow with us Senior Compiler Engineer Austin, Texas This is not a remote work opportunity ... The opportunity We are building an MLIR-based compiler and inference stack for custom AI silicon ...

SF Tensor

Founding GPU Compiler Engineer

San Francisco, CA · On-site

$163K - $200K/yr

Required : • Deep experience with compiler infrastructure (LLVM, MLIR, or similar) • Strong ... • Solid systems programming skills in C++ and/or Rust • Proven track record of building ...

Ericsson Inc.

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Grow with us Senior Compiler Engineer Austin, Texas This is not a remote work opportunity ... The opportunity We are building an MLIR-based compiler and inference stack for custom AI silicon ...

Ericsson

Staff Compiler Design Engineer

Austin, TX · On-site

Grow with us Staff Compiler Engineer, Principal level Austin, Texas This is not a remote work ... The Mission We are building an MLIR-based compiler and inference stack for custom AI silicon used ...

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · On-site

$100K - $500K/yr

In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team ... Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/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 ...

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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.
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Infographic showing various Mlir Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Compiler Engineer - AI Inference

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

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 seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing. Join us and make a tangible impact on a global scale.
What you'll be doing:
  • Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.
  • Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products.
  • Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon.
  • Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments.

What we need to see:
  • BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred.
  • Compiler Experience: 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement.
  • MLIR Knowledge: Demonstrated, hands-on experience working with MLIR.
  • Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design.
  • Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment.

Ways to stand out from the crowd:
  • Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.
  • LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.
  • Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up.

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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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

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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