Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$152 - $288/hr
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 ...
Austin, TX · On-site
$152 - $288/hr
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 ...
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
OR · On-site +1
$122K - $161K/yr
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 ...
OR · On-site +1
$122K - $161K/yr
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 ...
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
Quick apply
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
This role focuses on transforming higher-level MLIR-based large language models by applying sophisticated mid- and backend compiler techniques to target Persimmons.ai's custom accelerator hardware.
Santa Clara, CA · On-site
$143K - $189K/yr
They are seeking a Senior Software Engineer for the CUTLASS platform to develop core components, contribute to the MLIR-based backend compiler, and collaborate with multiple teams to enhance GPU ...
Santa Clara, CA · On-site
$143K - $189K/yr
They are seeking a Senior Software Engineer for the CUTLASS platform to develop core components, contribute to the MLIR-based backend compiler, and collaborate with multiple teams to enhance GPU ...
Redmond, WA · On-site
$137K - $180K/yr
As a Senior Software Engineer , you will design and deliver core capabilities for the Windows ML MLIR platform across CPU, GPU, and NPU hardware. You will work on production compiler and runtime ...
Redmond, WA · On-site
$137K - $180K/yr
As a Senior Software Engineer , you will design and deliver core capabilities for the Windows ML MLIR platform across CPU, GPU, and NPU hardware. You will work on production compiler and runtime ...
And we are contributing to open-source dialect convergence in the LLVM and MLIR ecosystems - we have open-sourced our Hexagon-MLIR compiler and are actively developing it for Triton and Torch-MLIR ...
And we are contributing to open-source dialect convergence in the LLVM and MLIR ecosystems - we have open-sourced our Hexagon-MLIR compiler and are actively developing it for Triton and Torch-MLIR ...
Indiana, PA · On-site
$124.44 - $161.77/hr
We are seeking a talented compiler expert to join our bleeding-edge MLIR compiler team in Zurich. In this high-visibility, hands-on role, you will play a pivotal part in building NextSilicon's next ...
Indiana, PA · On-site
$124.44 - $161.77/hr
We are seeking a talented compiler expert to join our bleeding-edge MLIR compiler team in Zurich. In this high-visibility, hands-on role, you will play a pivotal part in building NextSilicon's next ...
Austin, TX · Hybrid
$100K - $500K/yr
In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team focused on scaling graph transformations, lowering passes, and kernel-level optimizations. You'll help ...
Austin, TX · Hybrid
$100K - $500K/yr
In this role you will lead development on TT-Forge, our MLIR-based compiler, and manage a team focused on scaling graph transformations, lowering passes, and kernel-level optimizations. You'll help ...
Austin, TX · On-site
$103K - $142K/yr
The opportunity We are building an MLIR-based compiler and inference stack for custom AI silicon used in telecommunications baseband processing. The compiler takes ML models from StableHLO through ...
Austin, TX · On-site
$103K - $142K/yr
The opportunity We are building an MLIR-based compiler and inference stack for custom AI silicon used in telecommunications baseband processing. The compiler takes ML models from StableHLO through ...
Austin, TX · On-site
$103K - $142K/yr
The opportunity We are building an MLIR-based compiler and inference stack for custom AI silicon used in telecommunications baseband processing. The compiler takes ML models from StableHLO through ...
Austin, TX · On-site
$103K - $142K/yr
The opportunity We are building an MLIR-based compiler and inference stack for custom AI silicon used in telecommunications baseband processing. The compiler takes ML models from StableHLO through ...
Santa Clara, CA · On-site
This is where the journey begins - you'll build the systems that parse, validate, and lower representations from frameworks like PyTorch, StableHLO, ONNX, and MLIR dialects into our internal compiler ...
Santa Clara, CA · On-site
This is where the journey begins - you'll build the systems that parse, validate, and lower representations from frameworks like PyTorch, StableHLO, ONNX, and MLIR dialects into our internal compiler ...
... MLIR, LLVM, or equivalent) and their use representing complex program structures • Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations ...
... MLIR, LLVM, or equivalent) and their use representing complex program structures • Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations ...
San Bruno, CA · On-site
Develop and extend intermediate representations (e.g., MLIR) * Implement optimization passes including: * Operator fusion and graph partitioning * Basic scheduling and tiling strategies * Memory ...
San Bruno, CA · On-site
Develop and extend intermediate representations (e.g., MLIR) * Implement optimization passes including: * Operator fusion and graph partitioning * Basic scheduling and tiling strategies * Memory ...
Austin, TX · On-site
$81K - $109K/yr
Develop LLVM- and MLIR-based compiler components for Qualcomm's Hexagon DSP * Improve ML compiler lowering and optimization pipelines for efficient execution on Qualcomm hardware * Use profiling and ...
Austin, TX · On-site
$81K - $109K/yr
Develop LLVM- and MLIR-based compiler components for Qualcomm's Hexagon DSP * Improve ML compiler lowering and optimization pipelines for efficient execution on Qualcomm hardware * Use profiling and ...
Compiler technologies (LLVM, MLIR, Open-Source Compiler Frameworks). • Experience in GPU programming (CUDA, HIP/HIPA, GPU acceleration). • Bachelor's degree or equivalent experience in related ...
Compiler technologies (LLVM, MLIR, Open-Source Compiler Frameworks). • Experience in GPU programming (CUDA, HIP/HIPA, GPU acceleration). • Bachelor's degree or equivalent experience in related ...
... MLIR, LLVM, or equivalent) and their use representing complex program structures • Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations ...
... MLIR, LLVM, or equivalent) and their use representing complex program structures • Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations ...
| Aspect | Mlir | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Technical knowledge of compiler infrastructure, programming skills in C++/Python | Degree in Computer Science, Data Science, or related fields; experience with ML frameworks |
| Work Environment | Research and development in compiler and software infrastructure teams | Developing, testing, and deploying machine learning models in various industries |
| Employer & Industry Usage | Tech companies, AI research labs, compiler development firms | Tech companies, startups, AI-focused organizations |
| Common Search & Comparison Intent | Understanding technical roles in compiler infrastructure | Learning about careers in machine learning and AI |
While Mlir focuses on compiler infrastructure and software development for optimizing machine learning models, Machine Learning Engineers primarily design and implement ML models for practical applications. Both roles require technical expertise, but Mlir is more specialized in compiler technology, whereas Machine Learning Engineers work directly on AI solutions.
Cities with the most Mlir job openings:
States with the most job openings for Mlir jobs include:
The top searched job categories for Mlir jobs are:
$121K - $160K/yr
Full-time
Posted 22 days ago
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 rated software companies
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.
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 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.
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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
