This role pays more than
62%
of similar roles. Most pay
$147,865–$200,375
— the shaded band above.
At the midpoint, this role pays about
$187k
versus about
$174k
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 Senior Physical Failure Analysis Engineer within the Physical Failure Analysis team, you will investigate complex product failures and provide critical engineering solutions for advanced integrated circuits, deep learning processors, and system architectures. You will perform physical failure analysis to uncover root causes affecting product yield, performance, and long-term reliability across die, package, component, and board levels. Your daily responsibilities include developing novel methodologies, performing mechanical cross-sectioning, parallel de-layering, and chemical or plasma de-processing. You will utilize advanced Focused Ion Beam sample preparation, optical microscopy, and electron microscopy including SEM and TEM for high-resolution diagnostics. The role requires expertise in semiconductor IC fabrication, advanced packaging, and assembly processes to support design of experiments and process node improvements while navigating the intersection of physics, process technology, physical design, and circuit design.
Physical Failure Analysis
SEM
TEM
Focused Ion Beam
FIB
Electron Microscopy
IC Fabrication
Advanced Packaging
De-processing
Cross-sectioning
Design of Experiments
DOE
Circuit Design
Failure Analysis
Post Silicon Validation
PCIe
Memory Validation
Python
Linux
Windows
Firmware
Power Management
Root Cause Analysis
NPI
Oscilloscopes
Logic Analyzers
GPU Architecture
Data Center Infrastructure
AI Tools
Python
Rust
Shell Scripting
Linux
CI/CD
Data Pipelines
AI
Machine Learning
EDA Workflows
CAD Navigation Systems
Databases
Version Control
Observability
Automation Frameworks
Workflow Orchestration
GPU
AI/ML
Python
Shell Scripting
Linux
Windows
Firmware
Hardware
Automation
Telemetry
Data Center Infrastructure
Failure Analysis
Validation
Diagnostics
Test Development
Scripting
Orchestration
Failure Analysis
Root Cause Analysis
Firmware
BIOS
BMC
IPMI
PCIe
Linux
System Architecture
Signal Integrity
Power Delivery
Networking
AI-assisted Engineering
Automation
Hardware Debugging