Full-time

NVIDIA is hiring a Senior Compiler Optimization Engineer

About the Role

NVIDIA is seeking a Senior Compiler Optimization Engineer to join our Compute Compiler Team. You will deliver features and improvements to CUDA and other compute compilers, helping to realize the full potential of NVIDIA GPUs for critical workloads like deep learning, scientific computation, and self-driving cars. This role places you at the center of a technology stack that accelerates general purpose computation on the GPU.

What You'll Do

  • Analyze the performance of application code running on NVIDIA GPUs using profiling tools.
  • Devise and refine programming models for deep learning and related applications.
  • 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, and supportable compiler tools.
  • Interact with the open-source LLVM community to ensure tighter integration.
  • Interact with Architecture teams to influence hardware evolution.
  • Work with geographically distributed compiler, hardware, and application teams to oversee improvements and resolve problems.
  • Be part of a team at the center of deep-learning compiler technology spanning architecture design through higher-level languages.

What We're Looking For

  • B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience).
  • 6+ years of 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.
  • Good communication and documentation skills and self-motivated.

Nice to Have

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

Technical Stack

  • C++
  • CUDA
  • LLVM
  • MLIR
  • Clang

Team & Environment

You will be a key member of a small team working on a core compiler component within the Compute Compiler Team.

Benefits & Compensation

  • Compensation ranges are $184,000 USD - $287,500 USD for Level 4, and $224,000 USD - $356,500 USD for Level 5 + equity.
  • Equity
  • Benefits

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.

Required Skills
C++CUDALLVMMLIRClangCompiler DesignPerformance OptimizationParallel ProgrammingGPU ArchitecturesCode GenerationIntermediate RepresentationsHigh-Performance Computing
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Posted 8 months ago