This role pays less than
51%
of similar roles. Most pay
$150,000–$213,531
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$182k
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.
As a Hardware Systems Application Engineer - CSP, you will join the systems engineering team to support Cloud Scale Providers deploying next-generation AI-centric data centers and AI Factories. You will serve as the primary point of contact for customers and internal teams to deploy MGX platforms, including Grace-Blackwell and Vera Rubin racks. Your daily responsibilities involve collaborating with OEM/ODMs, troubleshooting complex hardware, software, and application issues, and working with architecture teams to optimize high-performance server solutions. You will utilize expertise in x86 server architecture, PCIe Gen5 and Gen6 interfaces, DDR, Infiniband, and high-speed interconnects. Additionally, you will apply knowledge of BMC architecture, I2C, power management, system telemetry, and Linux command line tools to solve technical challenges while ensuring successful deployment of GPU-accelerated data center architectures for agentic AI processing.
x86
ARM
Cadence Allegro
PCB Layout
Signal Integrity
Power Integrity
High-Speed Board Design
Oscilloscope
Logic Analyzers
Multi-meters
PCIe
BMC
Out of Band Management
Hardware Debug
System Integration
HPC
AI Workloads
x86
SoC
Signal Integrity
Power Delivery Network
DDR4/5
LPDDR4/5
Ethernet
Linux
Windows Server
C
C++
Python
Perl
Oscilloscope
JBERT
Circuit Design
root-cause analysis