DFT Architect

As a DFT Architect at EnCharge AI, you will play a crucial role in developing silicon for Edge Computing by balancing high-performance data processing with extreme power efficiency and reliability in remote environments. Your responsibilities will include architecting the testing strategy for data center chips to ensure flawless manufacturability and resilience for edge deployment. Key Responsibilities: - Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, and MBIST. - Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers. - Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Logic BIST. - Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact. - Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time. Technical Requirements: - Experience: 14-18 years in DFT, with at least 2 years in a leadership or principal role. - Tools: Mastery of industry-standard tools (e.g., Synopsys TestMAX, Siemens/Mentor Tessent, or Cadence Modus). - Memory & Logic Test: Deep expertise in MBIST (Memory Built-In Self-Test) with repair capabilities and boundary scan (IEEE 1149.1/6). - Advanced Nodes: Proven track record with FinFET nodes (7nm, 5nm, or below). - Low Power: Experience managing DFT in multi-voltage/power-gated designscrucial for edge efficiency. In your role as a DFT Architect at EnCharge AI, you will have the opportunity to work with a team of veteran technologists in semiconductor design and AI systems. EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing, offering a robust and scalable next-generation in-memory computing technology. Join us in unlocking the immense potential of AI in power, energy, and space constrained applications. If you are ready to take on the challenge of shaping the future of Edge Computing with your DFT expertise, apply now and be a part of EnCharge AI's innovative journey. (Note: Contact details provided by the company for further communication: Uday - View email address on easyhiring.pro - Mulya Technologies) As a DFT Architect at EnCharge AI, you will play a crucial role in developing silicon for Edge Computing by balancing high-performance data processing with extreme power efficiency and reliability in remote environments. Your responsibilities will include architecting the testing strategy for data center chips to ensure flawless manufacturability and resilience for edge deployment. Key Responsibilities: - Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, and MBIST. - Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers. - Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Logic BIST. - Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact. - Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time. Technical Requirements: - Experience: 14-18 years in DFT, with at least 2 years in a leadership or principal role. - Tools: Mastery of industry-standard tools (e.g., Synopsys TestMAX, Siemens/Mentor Tessent, or Cadence Modus). - Memory & Logic Test: Deep expertise in MBIST (Memory Built-In Self-Test) with repair capabilities and boundary scan (IEEE 1149.1/6). - Advanced Nodes: Proven track record with FinFET nodes (7nm, 5nm, or below). - Low Power: Experience managing DFT in multi-voltage/power-gated designscrucial for edge efficiency. In your role as a DFT Architect at EnCharge AI, you will have the opportunity to work with a team of veteran technologists in semiconductor design and AI systems. EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing, offering a robust and scalable next-generation in-memory computing technology. Join us in unlocking the immense potential of AI in power, energy, and space constrained applications. If you are ready to take on the challenge of shaping the future of Edge Computing with your DFT expertise, apply now and be a part of EnCharge AI's innovative journey. (Note: Contact details provided by the company for further communication: Uday - View email address on easyhiring.pro - Mulya Technologies)