1

Ai Compiler Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Senior Compiler Engineer, AI Inference Platforms

OR · On-site +1

$122K - $161K/yr

We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are ...

Showing results 41-60

Ai Compiler information

See salary details

$10

$33

$60

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 Compiler Engineer - AI

Austin, TX • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$121K - $160K/yr

Full-time

Re-posted 16 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 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. 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 learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis, along with strong foundations in compiler design and domain-specific languages.

This role is focused on building AI-driven compiler intelligence for production compiler pipelines, delivering measurable improvements in performance and efficiency, and advancing LLM-enabled workflows for compiler decisioning and developer productivity. What you'll be doing: Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI. Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.

Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout. Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines. Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.

Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites. Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance. What we need to see: BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools.

8+ years of software engineering and AI/ML experience, preferably in tools or systems development. Strong knowledge of compilers, code generation, and GPU architecture. Demonstrated proficiency in Python and C/C++.

Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration. Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.

Ways to Stand Out From the Crowd Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems. Proven track record of deploying AI/ML solutions in production and embedded environments. Strong experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality.

Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads. Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering. 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 program manager 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 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 19, 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


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