Optical Transceiver Test Engineer — AI-Driven Automation

Jobtailor; Carlsbad (CA); On-site; USD 110,000 - 180,000; Full time

Job summary

Jobtailor in California seeks an experienced optical transceiver test engineer to drive test development, validation, and characterization, ensuring performance, manufacturability, and quality.

You will analyze test data, set product limits, optimize coverage, and provide cross-functional support for debugging, failure analysis, and continuous improvement using Python automation and statistical tools.

Qualifications

• Minimum MSEE with 2+ years or BSEE with 4+ years of relevant industry experience.
• Strong scripting and automation skills in Python are required for module test program development.
• Use of AI in test program development and data analysis.
• Proficiency with statistical analysis methods/tools (JMP, Data Conductor, DataPower, Power BI), including GR&R, CpK, correlation, and SPC process control.
• Experience with semiconductor processes, optical/photonic components, and familiarity with QSFP MSA standards.

Responsibilities

• Ensure performance, manufacturability, and quality of optical transceiver products.
• Lead test development, validation, and characterization efforts.
• Analyze test data, set product limits, and optimize test coverage.
• Provide cross-functional support for product debug, failure analysis, and continuous test process improvement.

Skills

Python scripting

Automation

Test development

Data analysis

Statistical analysis methods

GR&R

CpK

AI in test development

Optical/photonic components

QSFP MSA standards

Education

MSEE

BSEE

Tools

JMP

Data Conductor

DataPower

Power BI

Job description

Jobtailor in California seeks an experienced optical transceiver test engineer to drive test development, validation, and characterization, ensuring performance, manufacturability, and quality.

You will analyze test data, set product limits, optimize coverage, and provide cross-functional support for debugging, failure analysis, and continuous improvement using Python automation and statistical tools.