Senior VLSI Product and Test Engineer (AI)

Location: Based in Taiwan with at least 50% travel within Taiwan

Company

hirify.global builds wafer-scale AI processors and high-performance computing systems designed to accelerate AI training and inference.

What you will do

• Develop and optimize production test programs for wafer-scale AI processors.
• Drive high-volume manufacturing testing with foundries and outsourced semiconductor assembly and test providers.
• Implement design-for-test strategies, including scan, BIST, ATPG, and functional testing.
• Analyze ATE, Shmoo, parametric, and defect data to improve yield and fault tolerance.
• Develop failure-analysis and fault-isolation methods for defective cores, tiles, and functional blocks.
• Support wafer and lot disposition while optimizing voltage-frequency limits, thermal behavior, power delivery, and parallel die testing.

Requirements

• BS or MS in Electrical Engineering, Computer Engineering, or a related field.
• 10+ years of semiconductor product or test-engineering experience supporting highly integrated devices.
• Strong experience in test development, silicon debug, test optimization, and yield improvement.
• Experience testing large parallel processors, GPUs, CPUs, or networking ASICs with SRAM, DDR/DRAM, or HBM.
• Expert hands-on experience with the Advantest V93000 platform; Teradyne experience is a plus.
• Experience designing and debugging load boards and probe cards, using Git-based development flows, and programming in C, C++, Python, or Perl.

Nice to have

• Experience with Tessent, OBIRCH, IREM, LADA, or similar semiconductor failure-analysis techniques.
• Experience testing high-speed SerDes and analog blocks embedded in digital ASICs.
• Experience applying data analysis or machine-learning techniques to yield optimization.
• Knowledge of wafer-scale packaging, TSVs, advanced interconnects, in-line diagnostics, and defect mitigation.

Culture & Benefits

• Work on a wafer-scale AI platform designed beyond traditional GPU constraints.
• Opportunities to contribute to cutting-edge AI research and open-source work.
• Startup vitality with an emphasis on job stability.
• Non-corporate work culture focused on individual perspectives, learning, growth, and support.