This role pays less than
62%
of similar roles. Most pay
$176,937–$246,665
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$212k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Deep Learning Compiler Engineer on the Deep Learning Compiler team, you will develop compiler optimization algorithms and analyze deep learning networks to accelerate next-generation software. Your daily responsibilities include defining public APIs, performing performance optimizations, crafting infrastructure techniques for neural networks, and executing general software engineering tasks in collaboration with hardware architecture and framework teams. You will work with technologies including C++, Python, MLIR, XLA, TVM, LLVM, and PyTorch to improve inference performance, build times, and memory footprints for models like large language models and generative AI. The role addresses the technical challenge of optimizing deep learning workloads across data centers, personal devices, automotive systems, and robotics. You will leverage your expertise in GPU/CPU architecture, CUDA, or OpenCL to solve complex problems within the broader deep learning community.