Senior AI Compiler Engineer, MLIR

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA is hiring a Senior AI Compiler Engineer to design and optimize an MLIR-based AI compiler powering NVIDIA’s inference engine. You’ll work on graph representations, APIs, and dialect definitions for future GPU architectures, focusing on performance, fast builds, and memory efficiency.

You will collaborate with framework and hardware teams, lead your development efforts, and contribute to kernel generation for neural networks, with opportunities to impact both data center and edge

Qualifications

• Bachelor's, Master's, or Ph.D. in CS/CE or related field, or equivalent experience.
• 3+ years in performance analysis and compiler optimizations.
• Experience with MLIR, XLA, and LLVM.
• Excellent C/C++ and Python programming and design skills.

Responsibilities

• 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.

Skills

C/C++

Python

Performance analysis

Compiler optimizations

MLIR/XLA/LLVM

Independent work

Interpersonal skills

Education

Bachelor's/Master's/PhD in CS or related field

Tools

MLIR

LLVM

CUDA

OpenCL

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.

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.