Full Stack AI Optimization Engineer

Full Stack AI Optimization Engineer

KEY JOB 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 policies to maximize uptime and throughput.
• Provide clear reporting of savings (ER TC test-time reduction KPI) and drive continuous improvement.
• Lead initiatives, mentor junior engineers, and collaborate across optical test, manufacturing, and data science teams.
• Contribute to innovation through potential patents or technical publications in AI-driven test optimization.

SKILLS/QUALIFICATIONS (include Education, Skills & Experience):

• Bachelors / master’s degree in computer science engineering, Electrical Engineering Applied Physics or related field.
• Minimum 2 years applied AI/ML deployment experience, with at least one successful implementation in test, manufacturing, or signal processing.
• Strong Python development skills; proficiency with ML libraries (PyTorch, TensorFlow, scikit-learn, RLlib).
• Hands-on with automation frameworks and hardware interfacing (DCAs, BERTs, oscilloscopes).
• Knowledge of ML algorithms: supervised learning, reinforcement learning, Bayesian methods, anomaly detection.
• Domain expertise in optical transceiver testing (TDECQ, ER, OMA, LUT calibration, BER tests).
• Strong analytical, leadership, and cross-functional collaboration skills.
• Experience working with statistical analysis tools for test data (SPC, yield analysis, correlation studies).
• Industry experience in test automation, high-speed hardware, or related fields preferred.
• Proven background in optical transceiver testing or hardware test automation is a strong plus.