COE Application Engineer

COE Application Engineer - SLT, Burn-In, HPC & AI

Position Overview

Hands-on COE (Center of Expertise) Application Engineer responsible for application development, system integration, customer enablement, and technical support across SLT, Burn-In, HPC, and AI semiconductor test platforms. The role works directly across semiconductor testers, automated handlers, thermal systems, instrumentation, test programs, firmware, software, and production test-cell environments to develop, validate, deploy, and scale complete test solutions.

Key Responsibilities

• Serve as a technical subject matter expert for SLT, Burn-In, HPC, and AI semiconductor test applications.
• Lead hands-on system bring-up, application development, device integration, characterization, qualification, and production ramp activities.
• Develop and optimize test flows, recipes, configurations, operating parameters, and application methodologies for complex semiconductor devices.
• Integrate and debug complete test-cell solutions across tester hardware, handlers, thermal systems, instrumentation, firmware, software, networking, and test programs.
• Support customer evaluations, proof-of-concepts, demonstrations, benchmarks, technical workshops, and production deployments.
• Work directly with customers to translate device, factory, reliability, throughput, electrical, thermal, and production requirements into test solutions.
• Characterize and improve test time, throughput, yield, repeatability, utilization, availability, power delivery, and thermal performance.
• Drive structured root-cause analysis for complex system-level issues and coordinate resolution across Applications, Systems, HW, SW, FW, Test Program, and R&D teams.
• Develop reusable COE reference solutions, validation methods, troubleshooting guides, best practices, and application documentation.
• Train regional Applications Engineers, Field Service Engineers, partners, and customer engineering teams.
• Provide field and customer feedback to Product Management and R&D to influence future platform, software, firmware, and system requirements.
• Use automation, scripting, data analytics, and AI-assisted engineering tools to accelerate application development, debug, and characterization.
• All other duties as assigned.