Senior Compiler Engineer - DL

NVIDIA•Austin, WA

1d•$152,000 - $241,500

About The Position

NVIDIA is looking for a Deep Learning Compiler Engineer to join its Deep Learning Compiler (DLC) team. The DLC is crucial for NVIDIA's inference engine, supporting data centers, personal devices, automotive, and robotics. The compiler needs to deliver top-tier inference performance, fast build times, reduced memory usage, and ease of use through Ahead-of-Time and Just-in-Time compilation. This role involves contributing to a compiler used by the entire deep learning community.

Requirements

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 development efforts.
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
Strong interpersonal skills and ability to work in a dynamic product-oriented team.

Nice To Haves

Proficient in CPU and/or GPU architecture.
CUDA or OpenCL programming experience.
Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
Experience with MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
GPU kernel generation with high performance and fast build time.
A track record of success in mentoring junior engineers and interns is a bonus.

Responsibilities

Analyzing deep learning networks and developing compiler optimization algorithms.
Collaborating with deep learning software framework teams and hardware architecture teams to accelerate next-generation deep learning software.
Defining public APIs, performance optimizations and analysis.
Crafting and implementing compiler infrastructure techniques for neural networks.
Performing general software engineering work.