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Mlir Engineer Jobs (NOW HIRING)

Nvidia

OR

$104K - $143K/yr

Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI ... Working closely with GPU hardware engineering teams to design AI compiler software features for ...

Neurophos Inc

Lead 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 Software Engineer, DL Compilers

Redmond, WA · On-site

$137K - $180K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... Building MLIR-based transformations and compiler infrastructure connecting frontend representations ...

Nvidia

Senior Software Engineer, DL Compilers

Austin, TX · On-site

$121K - $160K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... Building MLIR-based transformations and compiler infrastructure connecting frontend representations ...

Nvidia

OR

$104K - $143K/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 ...

Tenstorrent

Sr. Engineer, Software - AI Compiler

Austin, TX · On-site

$100K - $500K/yr

You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You ...

NVIDIA

Senior LLVM Compiler Engineer

Santa Clara, CA · On-site +1

$121K - $167K/yr

In this role, you will work directly with LLVM, Clang, MLIR, and related open‑source projects to ... We are seeking an experience engineer who proficient in combining deep compiler expertise with a ...

Nvidia

Senior Software Engineer, DL Compilers

Santa Clara, CA · On-site

$143K - $189K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... Building MLIR-based transformations and compiler infrastructure connecting frontend representations ...

Nvidia

OR · On-site

$122K - $161K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... Building MLIR-based transformations and compiler infrastructure connecting frontend representations ...

Nvidia

Senior LLVM Compiler Engineer

Santa Clara, CA

$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 ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX

$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

$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 ...

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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.
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Mlir Engineer jobs near you
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia

OR

$104K - $143K/yr

Full-time

Posted 12 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".

We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.

What you will be doing:

In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:

  • Crafting and implementing compiler optimization techniques for deep learning network graphs.

  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.

  • Performance tuning and analysis.

  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.

  • Designing user facing features in JAX and related libraries and other general software engineering work.

  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).

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

  • Ability to work independently, define project goals and scope, and lead your own development effort adopting clean software engineering and testing practices.

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

  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.

  • CUDA or OpenCL programming experience is desired but not required.

  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:

  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.

  • Extensive experience with CUDA or with GPUs in general.

  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

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 March 1, 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.#deeplearning
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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