- Lead development of iJTAG (IEEE 1687) based test solutions, including scan network modeling, instrument access, and test pattern execution.
• Design and implement DFT methodologies including scan, BIST, and hierarchical access mechanisms.
• Build AI/ML features in DFT tools for pattern compaction, failure prediction, and scan-failure root-cause analysis
• Develop scalable automation frameworks in Python/C++ and streamline DFT workflows using Tcl/Perl/Shell
• Build APIs and pipelines for Large-scale data ingestion (ATE logs, STIL/WGL patterns) and data processing and visualization dashboards
BE/ME Computer Science, Electronics Engineering or related professions with at least 2-5 years working experience in software development
• Understanding of Basic DFT concepts (scan chains, testability basics) and semiconductor testing fundamentals
• Strong programming expertise in C,C++ or Python and experience in data structures, algorithms, and scalable system design in Linux OS
• Strong attention to details, verbal communication and written skill sets, and ability to work with a highly diverse team-structured environment with positive attitude is mandatory
• Ability to work in a fast paced, project oriented, team environment and escalate any critical issues to the senior management.
Desired
• Exposure to ATE platforms (V93000 or similar) Linux-based development
• Basic knowledge of iJTAG / IEEE 1687 concepts
• Contributions to test optimization/yield improvement frameworks
• Interest or exposure to AI/ML data analysis, automation, or simple ML models applied to test/debug
Skills Required
- BE/ME in Computer Science, Electronics Engineering, or related field
- 2-5 years of software development experience
- Understanding of basic DFT concepts (scan chains, testability) and semiconductor testing fundamentals
- Strong programming expertise in C, C++ or Python; experience with data structures, algorithms, and scalable system design on Linux
- Strong attention to detail, verbal and written communication skills, and ability to work in diverse team environments
- Ability to work in a fast-paced, project-oriented team environment and escalate critical issues
- Exposure to ATE platforms (V93000 or similar) and Linux-based development
- Basic knowledge of iJTAG / IEEE 1687 concepts
- Contributions to test optimization or yield improvement frameworks
- Interest or exposure to AI/ML data analysis, automation, or simple ML models for test/debug
What We Do
For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd. Additional Information about Advantest can be found at www.advantest.com.
