Application Engineer

Hands‑on Application Engineer responsible for application development, test program development, customer enablement, and technical support across SLT, Burn‑In, HPC, and AI semiconductor test platforms.

Singapore
Posted Nov 10, 2026

INDUSTRYSoftware & InternetSaaS & Enterprise Software

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Responsibilities

Serve as technical liaison for SLT, Burn‑In, HPC, and AI semiconductor test applications.
Lead hands‑on system bring‑up, applications 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.
Develop reusable 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 platforms, software, firmware, and system requirements.
Use automation, scripting, data analytics, and AI‑assisted engineering tools to accelerate application development, debug, and characterization.

Skills

application developmenttest program developmentcustomer enablementtechnical supportsystem bring‑updevice integrationcharacterizationqualificationproduction ramptest flowsrecipesconfigurationsoperating parametersapplication methodologiestest‑cell solutionstester hardwarehandlersthermal systemsinstrumentationfirmwaresoftwarenetworkingtest programscustomer evaluationsproof‑of‑conceptsdemonstrationsbenchmarkstechnical workshopsproduction deploymentsdevice factory reliability throughput electrical thermal production requirementsautomationscriptingdata analyticsAI‑assisted engineering tools

Full description

Hands-on Application Engineer responsible for application development, test program development, 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 system. Job responsibilities Serve as technical liaison for SLT, Burn-In, HPC, and AI semiconductor test applications. Lead hands-on system bring-up, applications 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. Develop reusable 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 platforms, software, firmware, and system requirements. Use automation, scripting, data analytics, and AI-assisted engineering tools to accelerate application development, debug, and characterization.