below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$177,250–$254,750
— the blue band above.
At the midpoint, this role pays about
$236k
versus about
$216k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The AI Hardware Architect will join a dedicated team to analyze and architect the next generation of artificial intelligence hardware, specifically focusing on groundbreaking GPU and CPU systems. The role involves identifying areas for improvement by studying applications and models running on hardware to develop microarchitectural solutions for connectivity, coherency, power management, security, and memory management. Key responsibilities include driving the implementation of bus protocols, networking protocols, and memory access solutions while modeling performance and power advantages. Candidates must possess a Master's Degree in Computer Engineering or Electrical Engineering, eight years of industry experience, and expertise in high performance microarchitectural structures. Required skills include coding, algorithmic thinking, and a solid understanding of LLMs to solve complex SOC level issues within the rapidly growing AI infrastructure market.
Computer Architecture
Chip Architecture
Microarchitecture
NVLink
Firmware
System Architecture
Bus Protocols
Chip Development
Root Cause Analysis
Product Bringup
LLMs
C++
SystemC
Python
CPU Microarchitecture
Cache Coherency Protocols
Network-on-Chip (NoC)
CHI
ACE
SPEC
MLPerf
ISO 26262
CXL
HBM
Performance Modeling
Formal Methods
PMU
Data Center Architecture
Automotive SoCs
Python
AWS
LLMs
Generative AI
MLOps
NLP
Deep Learning
Apex
Agentforce
Data Cloud
Prompt Engineering
Machine Learning
Cloud Security
Data Preprocessing
Feature Engineering
Data Synthesis
Electronic System Architecture
PCB Design
Schematic Capture
Circuit Simulation
Signal Integrity
Power Integrity
Hardware System Validation
Oscilloscopes
Spectrum Analyzers
Analog Systems
Component Selection
CCA Assembly
Final Assembly and Test