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Open nowPosted 11 days ago

Manager, STPG PE NAND

MyCareersFuture94,028 open roles

Pay
SGD 8,000 – SGD 11,000 a month
Where
North, Singapore
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Your applicationOpen nowManager, STPG PE NANDMyCareersFuture · North, Singapore

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  2. 3.4%3 days
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  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 11 days ago

The posting

Key Responsibilities

People Leadership & Team Development

  • Recruit, develop, and retain top engineering talent; build a diverse, high-performing team.
  • Set clear expectations, provide regular feedback, and conduct performance reviews aligned to business outcomes.
  • Coach engineers on technical depth, problem-solving, and cross-functional collaboration skills.
  • Foster a culture of ownership, continuous learning, and data-driven decision-making.
  • Manage team capacity, priorities, and workload across concurrent projects and technology ramps.
  • Champion AI tool adoption within the team; enable engineers to leverage AI assistants and automation for accelerated productivity.

Probe Coverage Strategy & Ownership

  • Own and drive probe coverage strategy across the product portfolio, ensuring alignment with design intent, process risks, and customer requirements.
  • Establish team standards for probe limits, guard-bands, and screening mechanisms based on silicon characterization.
  • Lead probe enablement for new product introductions (NPI) and technology ramps; identify risks early and drive mitigation.
  • Define and release probe test flows from first silicon through qualification and HVM, balancing coverage with test efficiency.

Cross-Functional Leadership & Stakeholder Management

  • Partner with Design, DFT, Design Validation (DV), Process Integration, Backend Test, and Reliability teams to ensure probe solutions are technically sound and scalable.
  • Represent Probe Engineering in cross-functional forums; influence DFT architecture, test hooks, and observability decisions.
  • Drive alignment between probe strategy and downstream test requirements; ensure seamless handoffs.
  • Communicate team progress, risks, and trade-offs to senior leadership with clarity and data-backed recommendations.

First Silicon Bring-Up & Yield Enablement

  • Oversee first-silicon bring-up activities; ensure team delivers timely characterization and yield learning.
  • Drive structured root-cause analysis, failure-mode investigation, and feedback loops to Fab, PI, and Design teams.
  • Enable yield ramp through data-driven probe optimization and coverage right-sizing.

Data, Analytics & AI Enablement

  • Champion AI/ML initiatives such as predictive probe, smart sampling, anomaly detection, and test optimization.
  • Drive adoption of data analytics and automation tools to improve probe effectiveness and team efficiency.
  • Identify opportunities to streamline workflows and enable data-driven decision-making across the team.

AI Adoption & Efficiency Leadership

  • Lead and own AI efficiency projects that transform engineering workflows, targeting measurable productivity gains across the team.
  • Drive strategic adoption of generative AI tools (e.g., coding assistants, documentation automation, data analysis copilots) to accelerate engineering deliverables.
  • Establish AI adoption roadmaps and success metrics; track and report efficiency improvements to leadership.
  • Identify high-impact use cases for AI automation in probe engineering processes, from test program development to failure analysis.
  • Partner with IT and AI/ML platform teams to pilot and scale AI solutions; provide feedback to shape enterprise AI strategy.
  • Build team capability in AI-assisted workflows through training, best practices, and hands-on enablement.
  • Ensure responsible AI usage aligned with data governance, IP protection, and quality standards.

Required Qualifications

  • Bachelor's, Master's, or PhD in Electrical/Electronics Engineering, Computer Engineering (with hardware/semiconductor focus), Semiconductor Physics, or related field.
  • 5+ years of experience in semiconductor product engineering, wafer test, or related discipline.
  • 2+ years of experience leading or mentoring engineers; formal people management experience preferred.
  • Strong fundamentals in semiconductor devices, silicon characterization, yield mechanisms, and probe/test strategy.
  • Demonstrated ability to translate business objectives into team goals and drive execution.
  • Proven track record of cross-functional collaboration and stakeholder influence.
  • Strong analytical skills with ability to guide structured root-cause analysis and data-driven decisions.
  • Excellent communication skills; ability to lead across global, cross-functional teams.
  • Demonstrated experience driving technology adoption or process improvement initiatives.

Preferred Qualifications

  • Experience with DFT, design-to-manufacturing integration, or backend test operations.
  • Familiarity with AI/ML applications in test optimization, predictive analytics, or smart manufacturing.
  • Track record of driving process improvements, test cost reduction, or yield enhancement initiatives.
  • Experience leading AI adoption or digital transformation projects; hands-on familiarity with AI-assisted engineering tools.
  • Track record of delivering measurable efficiency gains through automation or AI-enabled workflows.
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