This role pays less than
68%
of similar roles. Most pay
$195,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$221k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
As an AI & Deep Learning Compiler Engineer at NVIDIA’s DLC team, you will work on developing compiler intermediate representations (IR), programming models, and optimizations for future GPU architectures. This role involves collaborating closely with deep learning software framework teams and hardware architects to enhance the performance of next-generation inference engines across various domains including data centers, personal devices, automotive, and robotics. Key responsibilities include defining public APIs, conducting performance analyses, implementing compiler optimizations, and generating high-performance GPU kernels for neural networks. Ideal candidates possess a strong background in compiler technologies like MLIR, XLA, and LLVM, along with expertise in deep learning frameworks such as PyTorch and XLA, and proficiency in GPU architecture and kernel generation.