Hiring Event for PDTE

Company: Qualcomm Semiconductor Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Qualcomm is launching a Hiring Drive Event in Taichung and Tainan! We welcome recent graduates and professionals with up to 5 years of work experience who are interested in PDTE-related opportunities to join this recruitment event.   Important Notes: 1. This is an invitation-only event. Candidates who meet the qualifications and pass the resume screening process will be contacted by HR with details regarding the interview schedule, location, and format. 2. We welcome fresh graduates from relevant fields who can start by November 30, 2026, as well as professionals with up to 5 years of relevant work experience. 3. Open positions in the PDTE organization include: Testing Engineer Product Engineer Machine Learning Engineer 4. Successful candidates will be required to be based in Hsinchu, Taiwan upon joining Qualcomm. Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Description ​: Product Development and Test Engineering (PDTE)   plays a critical role in bringing Qualcomm’s digital SoC and chiplet products from early silicon through high‑volume manufacturing. Qualcomm is hiring engineers interested in Product Engineering (PE), Test Development Engineering (TE) and Machine Learning Engineer (ML) roles who are excited to work on complex silicon products, collaborate with global teams, and grow careers through international assignments in Taiwan or Singapore. These roles offer end‑to‑end exposure across silicon validation, test development, product qualification, and manufacturing enablement, supporting advanced technologies at scale. Technical Areas Covered ○   ATE‑Based Test Domains: HSIO CPU CPR DDR / DRAM RF ○   Test Methodologies: MBIST ATPG Integration for ATE ○   System & Manufacturing Test: System‑Level Test Test Plan Ownership ○   Software & Data: AI Software Development AI Data Engineering ○   Product Engineering: Silicon Validation to High‑Volume Manufacturing Role Focus Areas Product Engineering (PE) Focus Own product readiness from silicon validation through high‑volume manufacturing Collaborate with SoC Design, System, Software, and Test teams on ATE, SLT, and bench validation Drive power, performance, and quality metrics, including test coverage and product qualification Support HVM test solutions, reliability qualification, and cross‑functional risk management Lead technical communication, project execution, and stakeholder alignment across regions Test Development Engineering (TE) Focus Develop and validate SoC and chiplet test solutions supporting NPI and manufacturing Own and debug structural, functional, high‑speed, and characterization tests Improve test coverage, yield, efficiency, and cost on advanced technology nodes Analyze test and yield data to drive continuous quality improvement Collaborate closely with DFT, Design, Yield, Reliability, Product, and Manufacturing teams Depending on background and business needs, candidates may start in one focus area and grow across both PE and TE domains over time. Machine Learning & Generative AI Engineer (ML) Focus Design, develop, and deploy production-grade machine learning and AI solutions Analyze large-scale engineering datasets to identify opportunities for AI-driven optimization and automation Develop, train, and evaluate machine learning models for prediction, classification, anomaly detection, and decision support Build AI-powered applications, LLM-based solutions, and agentic workflows to improve engineering productivity Collaborate with cross-functional teams to translate business and engineering requirements into scalable software and AI systems Minimum Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Electronic Engineering, Computer Engineering, Computer Science, or a related