Senior AI Compiler Engineer - MLIR & GPU Performance

NVIDIA; Austin (TX); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring a Senior AI Compiler Engineer in Austin, TX. Join a team building an MLIR-based AI compiler powering NVIDIA's inference engine end-to-end, focusing on performance, fast builds, low memory usage, and AoT/JIT usability across data center and edge.

You will develop graph representations and optimizations for future GPUs, define APIs, and collaborate with framework and hardware teams to enable new model patterns and architectural features. Equity and benefits are provided.

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.
• 3+ years of experience in performance analysis and compiler optimizations.
• Experience with compiler technologies such as MLIR, XLA, and LLVM.
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and testing.
• Ability to work independently, define project goals and scope, and lead your own development efforts.
• Strong interpersonal skills and the ability to thrive in a fast-moving, dynamic, 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++

Python

Performance analysis

Compiler optimizations

Debugging

Testing

Independent work

Interpersonal skills

Education

Bachelor's/Master's/Ph.D. in CS/CE or related field

Tools

MLIR

LLVM

XLA

CUDA

OpenCL

Job description

NVIDIA is hiring a Senior AI Compiler Engineer in Austin, TX. Join a team building an MLIR-based AI compiler powering NVIDIA's inference engine end-to-end, focusing on performance, fast builds, low memory usage, and AoT/JIT usability across data center and edge.

You will develop graph representations and optimizations for future GPUs, define APIs, and collaborate with framework and hardware teams to enable new model patterns and architectural features. Equity and benefits are provided.