Senior AI MLIR Compiler Engineer – GPU Inference (Equity)

Nvidia Corporation in; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior AI Compiler Engineer to design and optimize MLIR-based graph representations for future GPU architectures. You will collaborate with framework and hardware teams to enable new model patterns and features, and define APIs and MLIR dialects while delivering high-performance compiler optimizations.

We value strong C/C++ and Python skills, 3+ years in compiler work, and experience with MLIR, XLA, and LLVM.

Qualifications

• Bachelor's, Master's, or Ph.D. in CS/CE or related field, or equivalent experience.
• 3+ years in performance analysis and compiler optimizations.
• Experience with MLIR, XLA, and LLVM.
• Proficiency in C/C++ and Python; debugging and testing.
• Able to work independently and lead development efforts.
• Strong interpersonal skills to thrive in a fast-moving, product-oriented team.

Responsibilities

• Develop MLIR-based graph representations and optimizations for future GPU architectures.
• Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features.
• Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work.

Skills

C/C++ programming

Python programming

Performance analysis

Compiler optimizations

MLIR/LLVM knowledge

Independent work

Team collaboration

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience

Tools

MLIR

XLA

LLVM

Job description

NVIDIA in Santa Clara, CA is seeking a Senior AI Compiler Engineer to design and optimize MLIR-based graph representations for future GPU architectures. You will collaborate with framework and hardware teams to enable new model patterns and features, and define APIs and MLIR dialects while delivering high-performance compiler optimizations.

We value strong C/C++ and Python skills, 3+ years in compiler work, and experience with MLIR, XLA, and LLVM.