Santa Clara, United States Role overview
About this role
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 looking for outstanding AI compiler engineers to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA's software stack to provide comprehensive acceleration for modern machine learning models. As a member of the team, you will develop innovative AI compiler technologies for NVIDIA's hardware architecture. You will develop new AI compiler abstractions, developing agentic solutions to accelerate machine learning system engineering, and optimize high-impact machine learning workloads. As part of this role, you will be building a close technical relationship with internal NVIDIA software and hardware teams to push the latest developments to NVIDIA's product.
What you'll be doing:
Innovate and develop new machine learning compiler and systems technologies
Design, implement, and optimize compilers for high impact AI workloads
Build agent driven solutions to automate the overall development flow
Co-design agent system solutions with current and future AI compiler technologies
Collaborate closely with other engineering teams at NVIDIA to build high impact solutions for machine learning acceleration
What we need to see:
Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD are preferred
Experience in machine learning systems development – including ML compilers, LLM inference kernels, kernel generations.
Strong python, C/C++, GPU programming skills
Ways To Stand Out From The Crowd:
Expertise in machine learning compilers (e.g. Apache TVM, MLIR)
Background in developing AI agent driven solutions and automation
Expertise in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)
Strong experience machine learning systems research and productization
Open source project ownership or contributions
You will also be eligible for equity and benefits.
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.
Dublin, Ireland 
Shanghai, China