Product Lead, Yield Engineering
SixSense
Bengaluru, India · SingaporePosted Jun 30, 2026
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Singapore, Bengaluru
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Hybrid
Product Lead, Yield Engineering
Be the technical bridge between fab engineers and data science to shape AI-powered yield RCA — drive product impact, faster insights, and reliable data.
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VisionRoot cause analysis in semiconductor manufacturing is still largely manual — a senior yield engineer pulls data from MES, defect inspection, metrology, parametric test, and equipment logs to work out what changed. It is slow, hard to scale, and dependent on the experience of engineers that rarely captured for the next investigation.AI-RCA uses agents to continuously ingest data across the fab and packaging line, correlates signals that would take a human hours or days to connect, proposes likely root causes the engineer can verify, and learns from every case. It is not a replacement for the yield engineer but an assistant for them that never sleeps, never forgets a past excursion and does the mundane work for the yield engineer to verify.Impact and valueFaster RCA and containment of excursions, reducing yield exposure.A more accurate tool holds, improving process tool productivity.Higher engineering productivity through faster, better-supported investigations.Retained tribal knowledge held by a small number of senior engineers.The roleAI agents are about to change how fabs run. This role sits at the centre of that change. As the bridge between customer fab engineering teams and our data science and software teams, you will help shape a new generation of agents that reason about yield, defects, and process behaviour the way a senior engineer does — only faster, across more data, and with memory that compounds across every investigation. The agents we are building today will define how the next decade of semiconductor manufacturing works, and this role gets to influence both the product and the intelligence behind it.What you'll doCustomer engagement and data integrationData Alignment: Work with customer yield, integration, and IT teams to align on the datasets the system needs to integrate...