- 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 5-8 years working experience in software development
• Strong expertise in Scan architectures, compression techniques, fault simulation and coverage metrics
• Strong programming expertise in C,C++ or Python and experience in data structures, algorithms, and scalable system design in Linux OS
• Hands-on experience in ML frameworks (PyTorch, TensorFlow) and
data handling (Pandas, NumPy)
• Knowledge of classification, clustering, anomaly detection and feature engineering for semiconductor/test datasets
• 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
• Experience in electronic measurements/design, and ATE testing, preferably in the digital and High-Speed application domain
• Contributions to test optimization/yield improvement frameworks
• Exposure to GenAI/Copilot-style assistants for debugging or automation
• Experience working with large silicon datasets (production scale)
Skills Required
- BE/ME in Computer Science, Electronics Engineering or related with 5-8 years software development experience
- Expertise in scan architectures, compression techniques, fault simulation and coverage metrics
- Strong programming expertise in C, C++ or Python; data structures, algorithms, scalable system design on Linux
- Hands-on experience with ML frameworks (PyTorch, TensorFlow) and data handling (Pandas, NumPy)
- Knowledge of classification, clustering, anomaly detection and feature engineering for semiconductor/test datasets
- Strong attention to detail, and strong verbal and written communication skills; ability to work with a diverse team
- Ability to work in a fast-paced, project-oriented team environment and escalate critical issues to senior management
- Experience in electronic measurements/design and ATE testing (digital and high-speed domains)
- Contributions to test optimization and yield improvement frameworks
- Exposure to GenAI/Copilot-style assistants for debugging or automation
- Experience working with large, production-scale silicon datasets
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.
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