Senior AI Test Optimization Engineer

Rofin Baasel Laser

2 - 7 years

8 - 11 Lacs

hyderabad

Posted:-1 days ago| Platform:

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Skills Required

computer science automation automation testing analytical signal processing labview scheduling hardware continuous improvement python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

Education & Experience

Bachelor s or master s degree in electrical engineering, Computer Science, Applied Physics, or related field.
Minimum 2 years of applied AI/ML deployment experience, with at least one successful implementation in test, manufacturing, or signal processing.
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.

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