Senior Staff Engineer, Diagnostics and AI

What you'll do

• Set diagnostics architecture and standards for scalable, production-quality scan and memory diagnostics across the silicon lifecycle.
• Drive AI-enabled engineering, yield intelligence, and cross-lifecycle learning through analytics, agents, and automation.
• Lead technical roadmaps, governance, cross-functional integration, and mentoring across global teams.

What they ask for

• Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience; OR master's degree in Science, Engineering, or related field and 5+ years; OR PhD in Science, Engineering, or related field and 4+ years.

Nice to have

• 12+ years of semiconductor engineering experience, including significant work in ATPG or memory diagnostics, DFT, silicon debug, product or test engineering, yield analysis, Failure Analysis, Design for Debug, Design for Yield, or post-silicon engineering.
• Experience architecting or scaling automation, analytics, machine learning, generative AI, agentic systems, data platforms, or intelligent engineering workflows.

Pay

$174,400.00 - $261,600.00 USD base salary

Tools

ATPG, DFT, AI, analytics, automation, machine learning, generative AI, agentic systems

AI focus

Apply AI, agentic workflows, analytics, and automation to diagnostics and yield workflows to accelerate analysis, improve signal detection, preserve knowledge, support decisions, and enable broader responsible AI adoption.