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 $151,000–$217,181 — the shaded band above. At the midpoint, this role pays about $197k versus about $184k 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 Compiler Engineer - Smart Network Devices, you will join the Compiler team to advance and develop programmable networks for datacenter scale deployments of Data Processing Units (DPUs). This role bridges the hardware and software boundary, focusing on offloading and accelerating networking, storage, compute, and security services. You will be responsible for implementing static and runtime optimizations, developing proof-of-concept implementations of networking applications, and building advanced compilers. The position requires expertise in compiler technology, performance analysis, code generation, and network protocols. You will utilize C, C++, and Python to perform debugging, test design, and performance analysis. Ideal candidates possess knowledge of the Linux networking stack, hardware packet processing pipelines, and experience with open source compiler code bases to solve complex problems involving resource allocation and programmable infrastructure.
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