Senior Compiler Engineer, AI Inference Platforms
Nvidia
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How this pay compares to similar roles
This role pays more than 68% of similar roles. Most pay $142,437–$217,725 — the shaded band above. At the midpoint, this role pays about $197k versus about $180k 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 985 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.
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At a glance
NVIDIA 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 will have experience in systems with constrained resources, such as embedded platforms, and proficiency in technologies including MLIR, XLA, TVM, LLVM, and deep learning frameworks like PyTorch. Additionally, expertise in GPU kernel generation and a history of mentoring junior engineers is preferred, contributing to the team’s mission of delivering high-performance inference solutions across various devices and industries.
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