Staff/ Principal Engineer STPG Product Engineering - Probe

micron

Singapore

On-site

SGD 90,000 - 140,000

Full time

14 days+
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Job summary

Micron in Singapore seeks a Probe Product Engineer in STPG Product Engineering to own probe strategy and silicon learning from pre-silicon to HVM. You define probe coverage, limits, and guard-bands based on silicon behavior, and align with Design, DFT, DV, and Reliability teams.

You will drive yield and test efficiency, support first-silicon bring-up, and enable data-driven decisions with analytics and AI initiatives to optimize probe flow and costs.

Qualifications

  • Bachelor’s, Master’s, or PhD in Electrical / Electronics Engineering, Computer Engineering (with strong hardware, circuits, or semiconductor focus), Semiconductor Physics, or related field.
  • Strong fundamentals in semiconductor devices, wafer test, and product engineering.
  • Experience or strong interest in silicon learning, device behavior, yield mechanisms, DFT intent, or de

Responsibilities

  • Define and own probe coverage intent and test flows from first silicon through qualification and HVM.
  • Partner with Design, DFT, and DV teams during pre‑silicon phases to drive effective design‑to‑probe staging.
  • Perform silicon and device‑level characterization to inform probe limits and screening strategy.
  • Drive wafer‑level yield learning, bin definitions, and failure‑mode analysis at probe.
  • Enable data analytics and AI initiatives for yield analysis and test optimization.

Skills

Wafer test
Device characterization
Yield analysis
DFT readiness
Data analysis
AI/ML in test

Education

Bachelors in Electrical/Electronics Engineering
Masters/PhD in related field

Job description

Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Job Description Summary

The Probe Product Engineer in STPG Product Engineering owns probe strategy and silicon learning at wafer test, spanning pre‑silicon design‑to‑probe staging, first‑silicon bring‑up, qualification, and high‑volume manufacturing (HVM). This role is accountable for defining probe coverage intent, establishing limits and guard‑bands grounded in silicon behavior, and driving yield, quality, and test‑cost outcomes. The focus is on interpreting design intent, device operation, and process interactions, and translating product risk into robust, manufacturable probe strategies aligned with downstream test and customer requirements. The engineer works closely with Design, DFT, Design Validation (DV), Process Integration, Backend Test, and Reliability teams to ensure probe solutions are technically sound, scalable, and product‑centric across the lifecycle.

Key Responsibilities
  • Probe Coverage Strategy & OwnershipDefine and own probe coverage intent by mapping design features, device behavior, and process risks into probe observability, screening mechanisms, trims, and guard‑bands.
    Define, release, and sustain probe test flows from first silicon through qualification and HVM, ensuring coverage objectives are met without unnecessary test overhead.
    Establish probe limits and guard‑bands based on silicon characterization, design intent, and customer specifications, with clear alignment to downstream test.
    Lead probe enablement for new product introductions (NPI) and technology ramps, identifying coverage and manufacturability risks early and driving mitigation plans.
  • Pre‑Silicon Design‑to‑Probe Staging & DFT ReadinessPartner with Design, DFT, and DV teams during pre‑silicon phases to drive effective design‑to‑probe staging.
    Review and influence DFT architecture, test hooks, observability, redundancy, and trim structures to enable efficient and manufacturable probe coverage.
    Participate in pre‑silicon verification and simulation reviews to reduce first‑silicon debug risk.
    Define probe coverage intent early and ensure continuity from design features through probe and downstream test (shift‑left learning).
  • First Silicon Bring‑Up & Device CharacterizationSupport first‑silicon bring‑up using engineering probe platforms and lab‑based characterization setups.
    Perform silicon and device‑level characterization (parametric behavior, margins, trims, stress response) to inform probe limits and screening strategy.
    Correlate early silicon behavior with probe results to validate coverage intent, identify gaps, and eliminate redundant content.
    Provide early silicon learning to accelerate probe flow stabilization and yield ramp.
  • Yield, Quality & Reliability EnablementDrive wafer‑level yield learning, bin definitions, and failure‑mode analysis at probe.
    Enable intrinsic and extrinsic screening strategies in collaboration with Reliability teams.
    Provide structured, data‑backed feedback to Fab, Process Integration, Design, and DV teams to close learning loops efficiently.
  • Test Efficiency & Cost OptimizationDrive test efficiency improvements through coverage right‑sizing and flow optimization, aligned to product and market needs.
    Support wafer‑level speed (WLS) activities as part of broader probe optimization efforts.
    Balance coverage, yield, quality, and cost trade‑offs using silicon data and product risk understanding.
  • Data, Analytics & AI EnablementLeverage probe, inline, and reliability data for yield analysis, anomaly detection, and decision support.
    Contribute to AI/ML initiatives such as predictive probe, smart sampling, and test optimization.
    Apply data‑driven insights to continuously improve probe effectiveness and efficiency.
  • Artificial IntelligenceUsing, applying, and leveraging AI, identify opportunities to streamline workflows, optimize processes, and support innovation by incorporating AI‑driven solutions and enabling data‑driven decision‑making across projects and teams.
Required Qualifications
  • Bachelor's, Master's degree, or Phd in Electrical / Electronics Engineering, Computer Engineering (with strong hardware, circuits, or semiconductor focus), Semiconductor Physics, or related field.
  • Strong fundamentals in semiconductor devices, wafer test, and product engineering.
  • Demonstrated ability to use silicon behavior and characterization data to make informed probe, yield, and coverage decisions.
  • Experience or strong interest in silicon learning, device behavior, yield mechanisms, DFT intent, or de
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