Staff DFT Engineer

Job Title

Staff DFT Engineer

Role Summary

As a Staff DFT Engineer on the silicon team you will define and implement the end-to-end DFT strategy for EnCharge AI’s next-generation Edge AI accelerators, covering scan, MBIST, ATPG, hierarchical flows, and silicon bring-up. The role works closely with synthesis, STA, and ATE teams to ensure testability and drive yield improvements.

This is a high-impact startup position with ownership of DFT flows and tooling automation.

Experience Level

Senior — Staff-level. 9–10 years of hands-on DFT experience; experience in at least one full tape-out cycle preferred.

Responsibilities

Primary responsibilities include designing DFT strategy, producing test patterns, and leading silicon bring-up and yield debugging.

• Define and implement complete DFT architecture: Scan, MBIST, BSCAN, boundary scan, and test wrappers.
• Develop and manage DFT constraints and SDC for integration with synthesis and STA teams.
• Generate high-coverage ATPG patterns (stuck-at, transition, at-speed, path delay) and verify via timing-annotated simulation.
• Design hierarchical DFT flows for large SoCs to manage complexity.
• Collaborate with ATE teams to debug silicon patterns and drive yield improvement initiatives.
• Implement DFT techniques for Edge AI specifics, including HBM testing and low-power test modes.
• Automate DFT flows and integrations using scripting languages and tool-specific flows.

Requirements

Must-have technical skills, tools experience, and practical delivery evidence.

• 9–10 years DFT experience with at least one full tape-out in a lead/staff role.
• Expert with DFT tools such as Siemens Tessent, Synopsys DFTMAX/TetraMAX, Cadence Genus/Modus, or equivalent.
• Proven ATPG and simulation experience: stuck-at, transition, at-speed; timing-annotated verification.
• Experience with memory test and MBIST, and repair algorithms.
• Strong knowledge of DFT-centric STA, power-aware DFT, SDC/constraint management, and high-speed I/O testing.
• Experience with JTAG, IEEE 1149.x, IEEE 1500 wrappers, and boundary-scan flows.
• Proficient scripting skills (Tcl, Python, or Perl) for flow automation.
• Startup mentality: ability to take ownership, define processes, and work across disciplines.

Nice-to-have: prior experience with Edge AI accelerators, HBM testing specifics, or hierarchical DFT at large scale.

Education Requirements

Not specified.

About the Company

Company: EnCharge AI

EnCharge AI develops advanced AI hardware and software systems for edge-to-cloud computing, focusing on in-memory computing technology to deliver high compute efficiency and density with low power consumption. Founded in 2022, the company targets power-, energy-, and space-constrained applications with integrated hardware architectures and software stacks for scalable, reliable AI deployment.