AI/ML Engineer_Diagnostics & Yield_ Up to Senior Staff at Qualcomm Technologies Inc Turkey

Hsinchu, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy & Development, Data Engineering & Analysis, Tool & Workflow Integration, Cross-Functional Collaboration, Python, GenAI, Data Analytics, Semiconductor Workflows, Communication Skills, Semiconductor Test Methodologies, DFT Concepts, EDA Tools, AI Applications, Production Environments

Industry

Telecommunications

Description

Company: Qualcomm Semiconductor Limited Job Area: Engineering Group, Engineering Group > ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all. We are seeking a highly motivated and technically skilled AI Applications Engineer to lead the development and deployment of artificial intelligence solutions aimed at improving silicon & assembly yield analysis and advanced diagnostics in semiconductor manufacturing. This role bridges the gap between advanced machine learning techniques and semiconductor test engineering, with a focus on extracting actionable insights from complex data to enhance product quality and manufacturing efficiency. Minimum Qualifications: • Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Key Responsibilities: AI Strategy & Development Design and implement AI/ML models to analyze silicon yield data and identify patterns, anomalies, and root causes of failures. Develop predictive models to forecast yield trends and proactively address potential issues. Apply deep learning and statistical techniques to improve scan diagnostic resolution and fault localization. Data Engineering & Analysis Collaborate with test engineering teams to collect, clean, and structure large-scale test and yield datasets. Integrate data from ATE (Automated Test Equipment), DFT (Design for Test), and fab & assembly process logs for comprehensive analysis. Tool & Workflow Integration Build scalable pipelines and tools that integrate AI models into existing diagnostic and yield analysis workflows. Work closely with EDA vendors and internal software teams to enhance tool capabilities with AI-driven features. Cross-Functional Collaboration Partner with design, test, and manufacturing teams to understand challenges and translate them into AI solutions. Communicate findings and recommendations to stakeholders through clear visualizations and reports. Preferred Qualifications: Master’s or Ph.D. in Electrical Engineering, Computer Science, Data Science, or related field. Strong coding skills in Python and experience building AI-driven applications. Hands-on experience with GenAI concepts (LLMs, RAG, prompt engineering) and frameworks like LangChain. Solid foundation in data analytics and ability to learn semiconductor workflows quickly. Excellent communication skills in English; proven ability to lead technical initiatives. Strong understanding of semiconductor test methodologies, scan diagnostics, and yield analysis. Familiarity with DFT concepts, fault models, and EDA tools (e.g., Synopsys, Cadence). Experience with AI applications in semiconductor manufacturing or test engineering. Background in deploying AI models in production environments. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design and implement AI/ML models to analyze silicon yield data and identify patterns, anomalies, and root causes of failures. Collaborate with test engineering teams to collect, clean, and structure large-scale test and yield datasets.