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 LLVM based compiler middle end optimizer.
• 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).
• 5+ 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.
• LLVM and/or Clang compiler development experience.
• Familiarity with deep learning frameworks and NVIDIA GPUs.