Senior AI & DL Compiler Engineer — Equity & Impact

NVIDIA Corporation; United States; On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an AI & Deep Learning Compiler Engineer to join its Deep Learning & AI Compiler (DLC) team. You will analyze networks, optimize compilers, and implement techniques for high-performance AI workloads on NVIDIA GPUs across data centers, devices, automotive, and robotics.

Required: advanced degrees or equivalent experience, 3+ years in compiler optimization, strong C/C++ and Python, and experience with MLIR/LLVM/XLA/Triton.

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 includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.

Education

Bachelor's/Master's/Ph.D. in Computer Science or Computer Engineering or related field

Tools

CUDA

MLIR

LLVM

XLA

Triton

Python

Job description

NVIDIA Corporation is seeking an AI & Deep Learning Compiler Engineer to join its Deep Learning & AI Compiler (DLC) team. You will analyze networks, optimize compilers, and implement techniques for high-performance AI workloads on NVIDIA GPUs across data centers, devices, automotive, and robotics.

Required: advanced degrees or equivalent experience, 3+ years in compiler optimization, strong C/C++ and Python, and experience with MLIR/LLVM/XLA/Triton.