Senior Deep Learning Hardware Modeling Architect

Nvidia

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $152,000–$241,500 / yr
Posted: 36 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $222k

This role $197k

$137k most similar roles pay here $293k

This role pays less than 67% of similar roles. Most pay $190,000–$254,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

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

TL;DR · Senior Deep Learning Hardware Modeling Architect

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As a Senior Deep Learning Hardware Modeling Architect - LPU, you will join a team focused on hardware-software co-design to optimize the speed and efficiency of AI inference. You will be responsible for driving architectural specifications to closure across multiple stakeholders while developing written specifications for key component-level and system-level designs. Your daily work involves creating executable models used by various internal customers, ensuring high performance through robust C++ software practices, solid algorithms, data structures, and parallelism. To succeed, you must possess expert programming skills in C++, an understanding of RTL design and chip design concepts, and an automation-centered mindset. This role specifically addresses the technical challenge of modeling critical components for large language model inference solutions, requiring a blend of systems-level architectural modeling, profiling, and analysis to resolve performance and correctness issues across various hardware subsystems.

Skills

C++ RTL Design Hardware Modeling LLM Inference Data Structures Algorithms Parallelism Profiling Analysis

What you'll do

Drive architectural specifications to closure across multiple stakeholders.
Develop written specifications for key component-level and system-level designs.
Create executable models of hardware components used by internal customers.
Implement high-performance C++ code using advanced algorithms, data structures, and parallelism.
Resolve performance and correctness issues across chip and hardware subsystems.
Optimize AI inference speed and efficiency through hardware-software co-design.

What we're looking for

A BS degree or higher in a relevant field such as CS, EE, or Math is required.
Candidates must have 5+ years of relevant experience.
Expert programming and software skills in C++ are required.
Experience in RTL design and/or architecture with an understanding of chip design concepts is required.
An automation-centered mindset is required.
A desire to improve work efficiency using AI is preferred.
Experience with systems-level, architectural, or chip modeling, profiling, and analysis is preferred.
A strong combined RTL and C++ skillset is preferred.

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