Senior Compiler Engineer - AI

NVIDIA; Town of Texas (WI); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Generous benefits package

Job summary

NVIDIA seeks an experienced professional to lead innovations in compiler solutions utilizing machine learning and AI. The role involves collaboration with top engineers to design and optimize compilers.

Candidates require a BS, MS, or PhD in Computer Science with a background in AI and compiler technologies. NVIDIA offers a competitive salary range of $184,000 to $287,500, along with equity and benefits.

Join a pioneering team dedicated to redefining technology in a supportive environment.

Qualifications

• 8+ years of software engineering and AI/ML experience.
• Strong knowledge of compilers and GPU architecture.
• Hands-on experience with LLVM/MLIR-based compiler development.

Responsibilities

• Drive innovative compiler solutions using machine learning.
• Collaborate on next-generation compiler capabilities.
• Design end-to-end compiler optimization workflows.

Skills

Machine Learning

Compiler Development

Python

C/C++

AI/ML Experience

LLVM/MLIR

Education

BS/MS/PhD in Computer Science or related field

Job description

Overview

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 NVIDIAian, 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.

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.

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.

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