Seagate Technology

Servo Engineering Intern, AI Machine Learning – Control System

Seagate Technology

internship

Posted on:

Location Type: Office

Location: Shugart • Singapore

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Job Level

Entry Level

Tech Stack

DACPython

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
control systemsservo control algorithmsmodelingsimulationAI/ML techniquesadaptive controlpredictive controlembedded systemsreal-time computingdata acquisition