Expertise

Engineering depth structured for strategic impact across verification, test, and reliability.

Strategic Technology Leadership & R&D Governance

Executive-level architectural leadership across semiconductor R&D ecosystems. This role operates at the intersection of engineering depth, long-term platform strategy, and organizational coherence.

CTO-level technology vision and architectural arbitration
Long-term R&D roadmap definition
Leadership of international multi-site engineering organizations
Strategic trade-off arbitration: cost vs. quality
Executive-level technical due diligence
Optimization of R&D investment (e.g., CIR)
Leadership of industry–academic research collaborations

Core Technical Pillars

eda

EDA Product & CAD Platform Architecture

Architecture and scaling of industrial EDA systems and internal CAD infrastructures into robust, production-grade platforms.

  • Definition of scalable EDA architectures for enterprise environments
  • Transformation of internal engineering tools into commercially viable platforms
  • HW/SW co-architecture and toolchain integration strategy
  • Automation, workflow optimization, and infrastructure rationalization
  • Productization strategy bridging engineering capability and market positioning
  • Platform governance to ensure long-term maintainability and evolution
dft

DFT & 3DIC Test Architectures

Strategic definition of advanced Design-for-Test methodologies for increasingly heterogeneous and vertically integrated systems.

  • Architecture of DFT strategies for complex SoCs and chiplet-based systems
  • 3DIC test planning and hierarchical test integration
  • Integration of IEEE 1838, 1687, and 1500 standards into scalable test flows
  • Coverage optimization under cost and manufacturing constraints
  • System-level arbitration of quality vs. test time trade-offs
  • Alignment of test architecture with long-term product and reliability strategy
verify

System-Level Verification & Coherence

Ensuring coherence from device physics to data-driven decision layers through structured verification frameworks.

  • Digital verification architecture (UVM, assertions, safety-driven design)
  • Cross-layer coherence: device → circuit → tool → data
  • Integration of hardware and software validation strategies
  • Safety and reliability-oriented verification methodologies
  • Decision intelligence frameworks linking engineering data to executive insight
  • Governance of verification environments for scalability and reuse
ip

Test, Reliability & Safety IP Architecture

Silicon-proven IP design and architecture for test, safety, and reliability — engineered for reuse, configurability, and standards compliance.

  • Design and architecture of digital hardware IPs for advanced semiconductor systems
  • Patented BIST/BISR architectures and scalable repair strategies
  • Safety-oriented verification IPs and integrity-driven building blocks
  • Configurable architectures designed for long-term reuse across product generations
  • Standards-aware integration into SoC, chiplet, and 3DIC environments
  • Documentation and integration guidance to support industrial deployment
memory

Advanced Memory Test & Repair

Embedded memory quality, yield, and repair architectures across SRAM and emerging NVM technologies — bridging methodology, standards, and silicon reality.

  • BIST/BISR architectures for SRAM and emerging NVM (MRAM, FeRAM, and beyond)
  • Repair strategy definition to balance yield, area, and lifecycle robustness
  • Expertise in memory test languages (MTL) and associated industrial adoption
  • Co-creation and contribution to IEEE 1450.6.2 for memory test standardization
  • Yield learning and test optimization during ramp and product maturation
  • Integration guidance for scalable deployment across product families
standards

Standards & Technical Governance

Leadership in international standards definition and adoption — translating research and industrial constraints into interoperable, future-proof specifications.

  • Leadership in definition, adoption, and governance of semiconductor standards
  • Deep involvement across IEEE 1149.x, 1500, 1687, 1838, 1450.6.2, and 3405
  • Research-to-industry translation: turning proposals into implementable norms
  • Interoperability strategy across ecosystems, tools, and supply chains
  • Governance of standards-driven roadmaps and long-term technical alignment
  • Contribution to committees, working groups, and multi-stakeholder consensus

Applied AI for Semiconductor Engineering

Applied AI is positioned as an engineering amplifier — strengthening verification coverage, anomaly detection, and system-level insight without compromising methodological rigor.

AI-assisted anomaly detection
Coverage analysis acceleration
Engineering data mining
Decision-support models
Automation of repetitive processes
Preservation of explainability

Request a Strategic Technical Review

For due diligence, roadmap arbitration, or verification/test architecture decisions — engage SIS for a clear, structured technical assessment.

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