About the Role

NVIDIA, a leader in visual computing and GPU technology, is seeking a Compiler Engineer Intern with strong interest and skills in LLVM and MLIR compiler technology. This is a unique opportunity to work on deep-learning compiler systems at the intersection of cutting-edge architecture and high-level programming frameworks. You’ll be part of a high-impact team shaping the future of accelerated computing.

Key Responsibilities

Identify opportunities for performance improvements in the LLVM-based compiler middle-end optimizer.
Design and develop new compiler analysis passes and optimizations.
Collaborate with a team at the forefront of deep-learning compiler technology, spanning architecture design to high-level language support.

Eligibility

Batch Eligible:

2025, 2026, and 2027 2028 pass-out batches (currently pursuing B.S., M.S., or Ph.D.)

Education Requirements:

B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or a related technical field

Required Skills and Qualifications

Strong background in compiler optimizations (e.g., loop optimizations, inter-procedural optimizations, global optimizations)
Excellent programming skills in C++
Development experience with MLIR, LLVM, and/or Clang
Understanding of processor ISAs (GPU ISA is a plus)
Self-motivated with good communication and documentation abilities

Preferred Qualifications

M.S. or Ph.D. (preferred but not mandatory)
Experience developing applications using CUDA or other parallel programming models
Understanding of parallel programming concepts
Familiarity with deep learning frameworks and NVIDIA GPUs

Technical Skills Required (Comma Separated)

C++, LLVM, MLIR, Clang, Compiler Optimizations, CUDA, Parallel Programming, GPU ISA, Deep Learning Frameworks, Computer Architecture, Documentation, Communication Skills.

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Engineer Intern