Senior Compiler Engineer, AI Inference Platforms
Nvidia
At a glance
AI generatedNVIDIA seeks a Deep Learning Compiler Engineer to join its DLC team, focusing on advancing the inference engine for applications like large language models and image classification. This role involves collaborating with software framework and hardware architecture teams to enhance public APIs, optimize performance, and develop compiler infrastructure techniques for neural networks. The ideal candidate should have expertise in CPU and GPU architectures, experience with constrained resource systems, and proficiency in technologies such as MLIR, XLA, TVM, LLVM, and deep learning frameworks like PyTorch. Additionally, the ability to generate high-performance GPU kernels and mentor junior engineers is highly valued. This position plays a crucial role in delivering leading inference performance across diverse platforms including data centers and automotive systems.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$241,500 range sits above 77% of similar postings on FindRole.
Peer median band
$119,800–$212,505
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$196,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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