Lead DFT Engineer

2 нед. назад

CanadaUnited StatesWorldwideLeadRemote

atpgscan insertionboundary scanmbistdigital design

Lead design for test architecture and testing strategy for advanced AI hardware SoCs targeting edge-to-cloud computing.

Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, Boundary Scan  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  Memory /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  as well as timing analysis .
Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time.

Experience: 12+ years in DFT, with at least 2 years in a leadership or principal role. Bachelor’s degree in a related field.
Tools: Mastery of industry-standard tools (e.g., Synopsys TestMAX, Siemens/Mentor Tessent, Cadence Modus).
Memory & Logic Test: Deep expertise in MBIST (Memory Built-In Self-Test) with repair capabilities,  SCAN ,  IJTAG (IEEE 1687)   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 designs—crucial for edge efficiency.
 
EnCharge AI is an equal employment opportunity employer in the United States.
The salary range for this position is $200,000 to $250,000 USD/CAN per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
Developing silicon for edge-to-cloud computing isn't just about speed; it’s about balancing high-performance data processing with extreme power efficiency and reliability in remote environments.
As the Design for Test (DFT) Lead, you will be the architect of our testing strategy, ensuring our data center chips are flawlessly manufacturable and resilient enough for edge deployment.