Job Description

Job Description

Primary Duties & Responsibilities

  • Develop and deploy Reinforcement Learning (e.g., SAC, DDPG, PPO) to optimize multi-parameter tuning (ER TC, bias currents, LUTs, equalizer taps).
  • Apply Bayesian Optimization or hybrid models to accelerate convergence when DCA time is expensive.
  • Build supervised ML models (XGBoost, LightGBM) to predict long/stress test outcomes from early measurements, enabling test suite pruning or early termination.
  • Integrate anomaly detection (autoencoders, Isolation Forests) into test data streams to ensure quality while reducing redundant tests.
  • Apply RL or multi-armed bandit algorithms for dynamic scheduling of scarce test equipment (DCA, BERT).
  • Automate and integrate ML algorithms with test systems (Python APIs; LabVIEW; integration with existing frameworks).
  • Deploy models in production test stations, monitor real-time results, and adjust po...

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