Control Systems Engineering Intern

Overview

Change the world. Love your job. As a Controls Systems Engineering intern, you'll help architect and develop control systems that enable TI's supply chain operations to set stable, competitive lead times while preserving optimal semiconductor manufacturing. You'll gain hands-on experience with system architecture, control theory, modeling, simulation, and data analytics to drive efficient manufacturing processes. You may work in areas such as digital twin modeling, discrete event simulation, machine learning optimization, automated control systems, supply chain logistics, and semiconductor manufacturing process control.

• 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

Minimum requirements:

• 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 (Num Py, 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, 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

Why TI?

• Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
• We re different by design. Diverse backgrounds and perspectives push innovation forward and make TI stronger. We value each voice and look forward to hearing yours.
• Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. TI is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.