below marketmost similar roles pay hereabove market
This role pays more than
78%
of similar roles. Most pay
$151,643–$215,312
— the blue band above.
At the midpoint, this role pays about
$218k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
496 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 496 roles with salary data.
Lead Diagnostics Software Engineer, ATE Integration joins the team to drive the migration of post-silicon software validation frameworks and System-Level Tests directly into Automated Test Equipment and Wafer Sort environments. The role involves designing architectures, tooling, and translation methodologies to convert complex software-driven GFX and compute test cases into production-grade ATE patterns. Key responsibilities include defining technical roadmaps, developing software utilities for cycle-accurate vector formats like STIL or WGL, and analyzing hardware-software dependencies for deterministic modeling. The position requires proficiency in C/C++, Python, and experience with V93000 or UltraFLEX platforms. The work addresses the technical challenges of high-volume manufacturing for data center GPU IPs, focusing on massively parallel compute pipelines, high-bandwidth memory controllers, and multi-die chiplet interconnect protocols like UCIe.
Define the technical roadmap and architecture for migrating post-silicon SLT and GFX diagnostics onto wafer sort and ATE hardware.
Develop software utilities and pipelines to convert functional diagnostic sequences into cycle-accurate vector formats for ATE testers.
Analyze hardware-software dependencies to build deterministic models that emulate host behaviors on ATE hardware.
Optimize tester execution times to reduce costs while maximizing structural and functional test coverage for data center GPU IPs.
Design and implement diagnostic test cases to identify silicon issues early in the production lifecycle.
Serve as the primary technical liaison between GFX/Compute Diagnostics, Product/Test Engineering, and Design-for-Test teams.
What we're looking for
Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
Proven industry experience in silicon engineering spanning post-silicon validation, product engineering, diagnostics development, or structural/functional test generation (preferred).
Strong programming background in C/C++ and Python with understanding of bare-metal or driver-level programming (preferred).
Hands-on experience with production-grade Automated Test Equipment platforms like V93000 or UltraFLEX (preferred).
Expert understanding of structural pattern generation, vector timing, clock domains, and diagnostic patterns (preferred).
Familiarity with high-volume manufacturing challenges for data center architectures, including HBM integration and chiplet interconnect protocols (preferred).
Deep understanding of GFX and compute architectures with the ability to design diagnostic and test cases (preferred).
Experience with DevOps environments like GitHub and CI/CD pipelines (preferred).
Electronics Integration
Hardware Design
System Architecture
Failure Analysis
Test Equipment Development
Validation
Oscilloscopes
Power Supplies
Waveform Generators
Logic Analyzers
Communication Protocols
Automation Software
Electronic Test Systems
VDATS
LabVIEW
LabWindows CVI
Python
C
C++
Rust
Automated Test Equipment
Data Acquisition
Requirements-based Testing
Formal Verification
Electrical Engineering
Interface Test Adapters
Systems Engineering
Systems Integration and Test (I&T)
Requirements Management
System Modeling
MIL-STD-810
MIL-STD-464
MIL-STD-461
MIL-STD-704
SRR
PDR
CDR
TRR
LRU
Vibration Testing
Basis of Estimate (BOE)