Compiler Optimization Engineer, LLVM and MLIR - College Grad

Position: Compiler Optimization Engineer, LLVM and MLIR - New College Grad 2025

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team!

What you will be doing:

• Identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer.
• Design and develop new compiler analysis passes and optimizations to produce best-in-class, robust, supportable compiler and tools.
• Add support for new hardware features in LLVM and MLIR.
• Work with geographically distributed compiler, hardware and application teams to oversee improvements and problem resolutions.
• Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages.

What we need to see:

• Pursuing a
  
  B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience).
• Background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations.
• Excellent hands-on C++ programming skills.
• Understanding of any Processor ISA (GPU ISA would be a plus).
• Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems.
• Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:

• M.S or Ph.D. preferred.
• Experience in developing applications in CUDA or other parallel programming language.
• Deep understanding of parallel programming concepts.
• LLVM, MLIR and/or Clang compiler development experience.
• Familiarity with deep learning frameworks and NVIDIA GPUs.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you are creative and autonomous, 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 104,000 USD - 172,500 USD for Level 1, and 120,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until October 28, 2025.

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.#J-18808-Ljbffr