Principal DFT Engineer

About the role

Sambanova is looking for a talented and motivated Principal Design for Test (DFT) Engineer to help us build state-of-the-art RDU chips for machine learning and artificial intelligence. We are looking for a highly hands-on engineer who will be responsible for DFT architecture and implementation, verification, ATPG, MBIST and silicon bring-up for complex high-performance chips

Responsibilities

Your responsibilities will include:

• Define & implement block-level and SoC-level DFT architecture for large, hierarchical SoCs
• Develop and maintain ATPG flows for stuck-at,  at-speed and advanced fault models.
• Develop scripts and automation for DFT insertion, ATPG, coverage analysis, pattern generation, and debug.
• Develop and maintain JTAG, IEEE 1500, and IEEE 1687/IJTAG infrastructure for internal test and debug access.
• Generate production-quality ATPG and MBIST patterns and support deployment to ATE.
• Work closely with STA and Physical Design teams on DFT timing closure
• Support silicon diagnosis, failure localization, yield analysis, and manufacturing test optimization.

Required Qualifications

• B.S. in computer science, computer engineering, or related field
• 10+ years relevant industry experience
• Deep understanding of scan insertion, scan compression, ATPG, MBIST, JTAG, and hierarchical DFT
• Hands-on experience with Siemens Tessent tool flow (preferred) or equivalent industry standard DFT tools
• Familiarity with cell-aware ATPG, small-delay defects, IEEE 1500, IEEE 1687/IJTAG, and low-power DFT is highly desirable
• Strong understanding of advanced ATPG, silicon diagnosis, and failure localization methodologies
• Experience with STA constraints & analysis for DFT modes & SDF simulations
• Working knowledge of Verilog/System-Verilog simulators & waveform debugging

Preferred Qualifications

• Experience with ATE pattern deployment and silicon bring-up 
• Experience with multi-die/chiplet DFT, known-good-die test, or die-to-die interface testing
• Experience with large compute, AI accelerator, or HPC SoCs