Intern for Servo Engineering at Seagate, integrating AI/ML into precision servo design. Collaborating on research and optimization of control algorithms for hard disk systems.
Responsibilities
Work on cutting-edge control systems and integrate emerging AI/ML technologies into precision servo design
Assist in the design and optimization of servo control algorithms for high-performance hard disk systems
Conduct modeling, simulation, and analysis of control systems to improve accuracy and robustness
Explore and implement AI/ML techniques for adaptive and predictive control strategies
Collaborate on research projects involving robotic controller design and causality-based AI systems for advanced control applications
Document findings and present results to the engineering team
Requirements
Currently pursuing Master’s or Ph.D. in Electrical Engineering, Mechanical Engineering, Control Systems, Robotics, or related fields
Strong understanding of control theory fundamentals (classical and modern control)
Hands-on experience in control system design projects or related research
Application of AI/ML techniques in control system design
Familiarity with robotic controller design or causality-based AI systems
Proficiency in modelling and simulation tools such as MATLAB/Simulink, Python
Programming experience for embedded systems and real-time computing environments
Competence in data acquisition and instrumentation (e.g., oscilloscopes, DAC, NI equipment)
Benefits
Excellent employee recreational facilities
Badminton courts
Table tennis tables
In-house gym and recreation rooms
Classes and interest groups in photography, gardening and foreign languages
Various on-site celebrations
Community volunteer opportunities
Job title
Servo Engineering Intern, AI Machine Learning – Control System
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