Senior Deep Learning Compiler Engineer
Nvidia
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How this pay compares to similar roles
This role pays more than 63% of similar roles. Most pay $162,000–$222,000 — the shaded band above. At the midpoint, this role pays about $197k versus about $192k for comparable roles.
Based on 240 similar postings.
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 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
As a Senior AI Compiler Engineer, Algorithms and Code-Generation, you will join the Deep Learning & AI Compiler team to develop compiler optimization algorithms for deep learning networks. You will be responsible for defining public APIs, performing performance optimizations, and implementing compiler techniques specifically for AI workloads and future GPUs. Your daily work involves analyzing and debugging performance bottlenecks on GPUs while ensuring the compiler delivers high inference performance, fast build times, and reduced memory footprints. The role requires proficiency in C++, Python, and CUDA, along with experience in technologies such as MLIR, LLVM, XLA, or Triton. You will address technical challenges in large language models, generative AI, and recommendation systems by optimizing the software backbone used across data centers, personal devices, automotive, and robotics platforms to support the global deep learning community.
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