Senior GPU Functional Modeling Architect

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $152,000–$241,500 / yr
Posted: 46 days ago
Freshness: Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k

This role $197k

$137k most similar roles pay here $293k

This role pays less than 66% of similar roles. Most pay $191,406–$250,000 — the shaded band above. At the midpoint, this role pays about $197k versus about $221k 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 GPU Functional Modeling Architect

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As a Senior GPU Functional Modeling Architect within the Architecture Modeling group, you will collaborate with world-class architects to enable functional simulation platforms across multiple GPU generations. Your daily responsibilities involve modeling GPU architecture, baseboard components, and related features while working in a matrixed environment to document, design, develop, analyze, simulate, validate, and verify models. You will also create test plans and infrastructure for new architectures, improve the simulation platform, and utilize AI tools to assist with tasks. The role requires proficiency in C++, C, and scripting languages like Python or Perl, alongside experience with System C and TLM modeling. Additionally, you must possess skills in ML frameworks such as PyTorch, TensorFlow, and LangChain to solve complex problems related to GPU architecture and functional simulation across various hardware generations.

Skills

C++ Python C System C TLM PyTorch TensorFlow LangChain Computer Architecture GPU Architecture Scripting Perl Simulation Debugging

What you'll do

Model GPU architecture, baseboard components, and related hardware features.
Design, develop, and maintain tools to analyze and simulate architectural models.
Validate and verify functional and performance simulation models across different GPU generations.
Develop test plans and testing infrastructure for new architectures and features.
Improve the simulation platform and expand resources to support future GPU designs.
Integrate AI technologies to automate and enhance day-to-day engineering tasks.

What we're looking for

BS, MS, PhD, or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
5+ years of experience in related fields.
Proficiency in programming languages including C++, C, and scripting languages like Python or Perl.
Solid background in Computer Architecture with experience in modeling using System C & TLM.
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and LangChain.
Strong problem-solving and debugging skills to drive issues to closure.
Effective communication and interpersonal skills for working in a distributed team environment.
Strong collaboration skills with design and engineering teams.

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