AI Inference Compiler Engineer—Build Next-Gen DL Platforms

NVIDIA; California (MO); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA is seeking an AI & Deep Learning Compiler Engineer in the United States to push the performance of its Deep Learning & AI Compiler (DLC) across data centers, devices, and robotics. You will analyze DL networks, design optimization strategies, and collaborate with framework and GPU teams to accelerate inference work.

Strong C/C++ and Python, plus experience with MLIR/LLVM/XLA/Triton, are essential. You’ll lead development efforts, define APIs, and contribute to future NVIDIA GPUs while

Qualifications

• Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
• 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
• Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
• Ability to work independently, define project goals and scope, and lead your own development efforts.
• Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Responsibilities

• Analyzing deep learning networks and developing compiler optimization algorithms.
• Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software.
• Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.

Skills

C/C++ programming

Python programming

Compiler optimizations

Performance analysis

Independent work

Interpersonal skills

Education

Bachelor’s degree in CS/related field

Master’s degree in CS/related field

Ph.D. in CS/related field

Tools

MLIR

LLVM

XLA

Triton

Job description

NVIDIA is seeking an AI & Deep Learning Compiler Engineer in the United States to push the performance of its Deep Learning & AI Compiler (DLC) across data centers, devices, and robotics. You will analyze DL networks, design optimization strategies, and collaborate with framework and GPU teams to accelerate inference work.

Strong C/C++ and Python, plus experience with MLIR/LLVM/XLA/Triton, are essential. You’ll lead development efforts, define APIs, and contribute to future NVIDIA GPUs while