Senior Compiler Engineer, AI Inference Performance
Nvidia
At a glance
AI generatedNVIDIA seeks an AI & Deep Learning Compiler Engineer to join its DLC team, focusing on advancing the inference engine for large-scale applications like generative AI and recommendation systems. This role involves collaborating with deep learning software framework teams and GPU architecture experts to enhance public APIs, optimize performance, and develop compiler techniques tailored for future NVIDIA GPUs. The ideal candidate holds a Bachelor’s, Master’s, or Ph.D., with expertise in compiler technologies such as MLIR, LLVM, XLA, and Triton, alongside proficiency in CPU and GPU architectures. Knowledge of deep learning frameworks like PyTorch and JAX, along with experience in GPU kernel authoring using Nsight Compute, is essential. Additional strengths include mentoring early-career engineers and contributing to new hardware bring-up efforts.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$241,500 range sits above 45% of similar postings on FindRole.
Peer median band
$166,500–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$167,340–$245,287
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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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