Control Systems Engineering Intern at Texas Instruments in Dallas, TX

Summary: Texas Instruments is a global semiconductor company that designs and manufactures analog and embedded processing chips. As a Controls Systems Engineering intern, you'll help architect and develop control systems to enhance TI's supply chain operations and gain hands-on experience with various engineering concepts and technologies. Responsibilities: - Assisting in the design of control systems and algorithms for high-mix semiconductor manufacturing and supply chain logistics - Supporting discrete event simulation platforms and contributing to system performance modeling - Participating in the application of statistical modeling and optimization techniques to improve system stability - Helping translate requirements into architecture diagrams, configuration logic, and data models - Contributing to systems-of-systems interoperability through verification planning and testing - Assisting in the development and maintenance of control software with automated testing - Supporting debugging of hardware-software interactions using instrumentation and data logging - Contributing to the automation of recurring engineering tasks to improve efficiency - Participating in digital twin modeling and real-time data synchronization projects - Learning about advanced control algorithms and predictive control capabilities Required Qualifications: - Currently pursuing an undergraduate or graduate degree in Electrical/Computer Engineering, Computer Science, Mathematics, Operations Research, Industrial/Systems Engineering, Data Science, or related field - Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: - Coursework or project experience with control systems, signal processing, or system dynamics - Programming experience with Python, C++, Java, or similar object-oriented languages - Exposure to statistical modeling, optimization techniques, or simulation tools through coursework or projects - Basic understanding of mathematical concepts including linear algebra, calculus, and probability - Experience with data analysis tools or frameworks (NumPy, Pandas, MATLAB, or similar) - Familiarity with control theory concepts such as closed-loop control, PID control, or feedback systems - Exposure to simulation platforms or modeling tools through academic projects - Experience with data serialization formats (JSON, YAML, XML) or configuration management - Knowledge of machine learning concepts or AI/ML applications in engineering - Understanding of semiconductor manufacturing processes or supply chain concepts - Ability to establish strong relationships with key stakeholders critical to success, both internally and externally - Strong verbal and written communication skills - Ability to quickly ramp on new systems and processes - Demonstrated strong interpersonal, analytical and problem-solving skills - Ability to work in teams and collaborate effectively with people in different functions - Ability to take the initiative and drive for results - Strong time management skills that enable on-time project delivery - Efficiency instinct to automate recurring tasks and improve processes Required Skills: Control systems, Python, Data analysis tools Important Skills: Statistical modeling, Machine learning concepts, Signal processing, System dynamics Nice-to-Have Skills: C++, Java, MATLAB, Analytical skills, Interpersonal skills, Problem-solving skills, Time management Benefits: Competitive pay and benefits designed to help you and your family live your best life