We are looking for an experienced Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars. Our compiler organization makes its mark on every GPU NVIDIA produces. We need you as a key member of a team that is working on a core compiler component for accelerating general purpose computation on the GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. See your efforts in action as HPC and DL developers use features and optimizations to achieve the best performance of their applications. If this sounds like a fun challenge, we want to hear from you!
What you will be doing:- Analyze the performance of application code running on NVIDIA GPUs with the aid of profiling tools.
- Identify opportunities for performance improvements in the MLIR/LLVM based compiler middle end optimizer.
- Identify and Implement novel ideas in the compilation pipeline to enable overall best-in-class performance of AI workloads.
- Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools.
- Interact with Open-source LLVM community to ensure tighter integration.
- 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:- B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience).
- 8+ years experience 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:- Masters or PhD preferred
- Experience in developing applications in CUDA or other parallel programming language.
- Deep understanding of parallel programming concepts.
- MLIR, LLVM and/or Clang compiler development experience.
- Familiarity with deep learning frameworks and NVIDIA GPUs.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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 July 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
