Platform Architecture Engineer, GeForce NOW

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
120 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $205k
This role $236k
$147k most similar roles pay here $303k

This role pays more than 78% of similar roles. Most pay $174,525–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $205k 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 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

TL;DR · Platform Architecture Engineer, GeForce NOW

As an experienced Platform Architecture Engineer on NVIDIA’s GeForce NOW cloud team, you will architect next-generation cloud infrastructure optimized for AI workloads alongside gaming, performing deep performance and power analysis of GPU/CPU microarchitecture features. You’ll deploy, optimize, and benchmark AI/gaming kernels in the cloud across various configurations, build models to guide platform decisions balancing performance, power, and cost, and present findings to cross-functional teams including product, engineering, and executives. This role requires a Bachelor’s, Master’s, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or AI, with 8+ years of experience in CPU or GPU performance analysis, expertise in hardware power and performance analysis, and hands-on experience optimizing AI and gaming workloads using C, C++, Python, and scripting languages. Strong presentation skills and the ability to analyze complex data are essential for this cutting-edge position that impacts sophisticated computing systems and redefines industry limits.

What you'll do

  • Architect next-generation cloud infrastructure optimized for AI and gaming workloads.
  • Perform deep analysis of GPU/CPU microarchitecture features for AI inference and gaming.
  • Deploy and optimize AI/gaming kernels in the cloud across various configurations.
  • Build models to guide platform decisions balancing performance, power, and cost.
  • Present findings on hardware optimizations to cross-functional teams.

What we're looking for

  • Bachelors, Masters, PhD, or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, AI.
  • 8+ years of experience in CPU or GPU performance analysis and microarchitecture bottleneck identification.
  • Expertise in hardware power and performance analysis with knowledge of microarchitecture design trade-offs.
  • Experience characterizing and optimizing AI, gaming, and cloud workloads at software and compiler levels.
  • Strong programming skills in C, C++, Python, and scripting languages for configuring and deploying AI models.
  • Proficiency in performance analysis methodologies including code instrumentation, sampling, and roofline analysis.
  • Ability to analyze complex data, draw insightful conclusions, and communicate findings effectively to various audiences.

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