Senior Deep Learning Compiler Engineer — AI Inference

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

Job summary

NVIDIA Corporation in United States is seeking a Deep Learning Compiler Engineer to join the DLC team. You will analyze deep learning networks and develop compiler optimization algorithms to accelerate inference across data centers, devices, and automotive platforms.

The role blends software engineering with cutting-edge ML compiler research. Collaborate with DL software framework and hardware architecture teams, define APIs, optimize performance, and implement compiler infrastructure for neural

Qualifications

• Bachelors, Masters 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.
• Ability to work independently, define project goals and scope, and lead your own development efforts.
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
• 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 deep learning software framework teams and hardware 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 infrastructure techniques for neural networks, and other general software engineering work.

Skills

C/C++

Python

Independent work

Debugging

Performance analysis

Test design

Interpersonal skills

Teamwork

Education

CS/CE degree

Tools

MLIR

XLA

TVM

LLVM

PyTorch

CUDA

OpenCL

Job description

NVIDIA Corporation in United States is seeking a Deep Learning Compiler Engineer to join the DLC team. You will analyze deep learning networks and develop compiler optimization algorithms to accelerate inference across data centers, devices, and automotive platforms.

The role blends software engineering with cutting-edge ML compiler research. Collaborate with DL software framework and hardware architecture teams, define APIs, optimize performance, and implement compiler infrastructure for neural