Staff Interop Validation Engineer – AI Data Center Interconnect
Core
Develop and automate validation test plans for high-speed optical interconnects (DSPs and Optical Modules) in AI data centers and carrier networks, utilizing AI models to accelerate data review and reporting.
Role type
Staff Interop Validation Engineer (AI Data Center Interconnect)
Builds
Automated test plans, qualification reports, and engineering dashboards for optical module and DSP validation.
Domain
Semiconductor / Optical Interconnects / AI Infrastructure
Deliverable
production ML models
Required skills
Transceiver validation, IEEE standards, Test script development, Networking protocols, Python scripting, Statistical analysis, Optical module qualification, DSP qualification, Vendor collaboration, Automation engineering
Preferred skills
Adaptation of open-weight language models for lab data review, Benchmarking of AI models for engineering tasks
Technologies
PAM4 DSPs, Optical Modules, Python, Statistical analysis tools, Engineering dashboards
Responsibilities
Evaluate hardware and software features from DSPs to create implementation plans for qualification and testing. Collaborate with vendors to define and develop test plans for Optical Modules and DSP chips. Automate optical test plans and qualify optical modules from different vendors with different switches. Build dashboards and status reports to track qualification progress and key performance metrics. Adapt and benchmark open-weight language models to speed up lab data review and produce first-draft reports. Build end-to-end automation to gather specs, review lab logs, and run Python scripts and statistical checks on result sets.
