- Bayan Lepas Pulau Pinang Malaysia
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Collaborate with cross-functional teams, including hardware engineers, data scientists, and product managers, to define firmware and AI requirements and ensure seamless integration between embedded systems and AI solutions.
Develop, implement, and optimize advanced algorithms, signal processing techniques, and AI/ML models to improve measurement accuracy, stability, repeatability, and system performance.
Analyze measurement data using statistical methods, machine learning, and AI-assisted techniques to identify trends, predict system behavior, and derive optimal compensation formulas and calibration strategies.
Conduct thorough testing, validation, and performance evaluation of firmware and AI models to ensure reliability, robustness, and compliance with product requirements.
Develop intelligent data acquisition, feature extraction, anomaly detection, and predictive analytics capabilities to enhance instrument performance and user experience.
Design and implement communication protocols, data pipelines, and software interfaces required to support AI-enabled measurement and automation workflows.
Develop and maintain comprehensive technical documentation covering firmware architecture, AI algorithms, model validation, and performance evaluation methodologies.
Stay current with advancements in embedded AI, machine learning, data analytics, signal processing, and test & measurement technologies, driving continuous innovation and product differentiation.
Familiarity with signal processing, data acquisition systems, precision measurement techniques, and instrumentation concepts.
Experience with data analysis, statistical modeling, curve fitting, regression analysis, or machine learning techniques for solving engineering problems.
Ability to analyze large measurement datasets and derive mathematical models, compensation algorithms, or optimization formulas to improve system performance and measurement accuracy.
Experience with AI/ML tools and frameworks such as Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, MATLAB, or similar analytical platforms is a plus.
Peringatan Penting
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