Senior AI Compiler Engineer — Deep Learning Performance

NVIDIA; Austin (TX); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Austin, TX is hiring an AI & Deep Learning Compiler Engineer to advance the DLC team, delivering high-performance compilers for AI workloads across data centers, PCs, and autonomous devices.

You will analyze networks, optimize GPUs with CUDA, and help define APIs while working with MLIR/LLVM/Triton; candidates should have 3+ years in compiler optimization and strong C/C++/Python skills.

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.
• Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs.
• 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++

Python

CUDA

Performance analysis

Software design

Independence

Team collaboration

Education

Bachelor’s/Master’s/Ph.D. in CS/CE or equivalent

Tools

MLIR

LLVM

XLA

Triton

Nsight Compute

Job description

NVIDIA in Austin, TX is hiring an AI & Deep Learning Compiler Engineer to advance the DLC team, delivering high-performance compilers for AI workloads across data centers, PCs, and autonomous devices.

You will analyze networks, optimize GPUs with CUDA, and help define APIs while working with MLIR/LLVM/Triton; candidates should have 3+ years in compiler optimization and strong C/C++/Python skills.