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Ai Compiler Jobs (NOW HIRING)

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA · On-site

$139K - $183K/yr

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 ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX

$121K - $160K/yr

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 ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

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 ...

Lemurian Labs

Front End Compiler

Lemurian Labs is reimagining the foundations of computing to make AI accessible to everyone. They are seeking a Front End Compiler Engineer to design, develop, and maintain the front end of their ...

Lemurian Labs

Front End Compiler

Santa Clara, CA · On-site

About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to ... About the Role We're looking for a Front End Compiler Engineer to own the ingestion layer of our ...

Lemurian Labs

Front End Compiler

Santa Clara, CA · On-site

Lemurian Labs is reimagining the foundations of computing to make AI accessible to everyone. They are seeking a Front End Compiler Engineer to own the ingestion layer of their high-performance ...

Lemurian Labs

Compiler Code Gen Engineer

Job Summary : Lemurian Labs is reimagining the foundations of computing to make AI accessible to everyone. They are seeking a Compiler Code Generation Engineer to design and build core code ...

Lemurian Labs

Compiler Optimization Engineer

Lemurian Labs is reimagining the foundations of computing to make AI accessible to everyone. They are seeking a Graph Optimization Compiler Engineer to design and implement optimization passes in ...

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement ...

Nvidia

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement ...

Nvidia

Senior Compiler Engineer - AI

OR · On-site +1

$122K - $161K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA · On-site

$137K - $180K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement ...

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Ai Compiler information

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How much do ai compiler jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai compiler in the United States is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $38.22 per hour, depending on experience, location, and employer.

What is an AI compiler?

AI Compilers are specialized software tools designed to optimize and convert machine learning models or AI code into efficient formats for deployment on various hardware platforms. They help bridge the gap between AI frameworks (like TensorFlow or PyTorch) and hardware accelerators (such as GPUs, TPUs, or custom chips). By automating tasks such as graph optimization, quantization, and parallelization, AI Compilers improve the performance and efficiency of AI models in production environments. Their use is critical for deploying AI applications at scale, especially in resource-constrained or latency-sensitive scenarios.

What are the key skills and qualifications needed to thrive as an AI compiler?

To thrive as an AI Compiler, you need a strong background in computer science, compiler theory, and machine learning, often backed by a relevant degree and experience with programming languages such as C++, Python, or LLVM. Familiarity with AI frameworks (like TensorFlow or PyTorch), optimization tools, and hardware accelerators is typically required, along with knowledge of specialized compilers for AI workloads. Strong problem-solving abilities, attention to detail, and effective communication are the soft skills that set top performers apart in this field. These skills are crucial because they enable efficient development and deployment of AI models on various hardware, ensuring optimal performance and innovation.

What are some typical challenges AI compiler engineers face when optimizing machine learning models for different hardware architectures?

AI Compiler engineers often encounter the challenge of ensuring that machine learning models run efficiently across various hardware platforms, such as GPUs, TPUs, and specialized AI accelerators. This requires a deep understanding of both the model's computational requirements and the hardware's unique capabilities and constraints. Balancing performance, memory usage, and portability while maintaining correctness can be complex, especially as models and hardware evolve rapidly. Collaboration with hardware engineers and ML researchers is common, as is ongoing learning to stay current with new compiler techniques and frameworks.

What is the difference between Ai Compiler vs Data Scientist?

AspectAi CompilerData Scientist
Required CredentialsComputer Science degree, programming skills, knowledge of AI frameworksStatistics, mathematics, programming, often a degree in data science or related fields
Work EnvironmentSoftware development teams, AI research labs, tech companiesData analysis teams, research environments, consulting firms
Industry UsageAI development, machine learning deployment, software engineeringData analysis, predictive modeling, business insights

While both roles involve technical expertise, an Ai Compiler focuses on developing tools that optimize AI model deployment, whereas a Data Scientist analyzes data to generate insights. They often collaborate but serve different functions within AI and data-driven projects.

What cities are hiring for Ai Compiler jobs?

Cities with the most Ai Compiler job openings:

What are popular job titles related to Ai Compiler jobs?

For Ai Compiler jobs, the most frequently searched job titles are:

Infographic showing various Ai Compiler job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $70,561 per year, or $33.9 per hour.

Senior AI Compiler Engineer, MLIR

Seattle, WA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$139K - $183K/yr

Full-time

Posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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