Texas Instruments

Systems Engineering Intern (Nanotech and Sensing)

Job Description

Posted on: 
2025-11-13

Responsibilities

  • Research and implement reinforcement learning algorithms for optimization.
  • Develop simulation and hardware in the loop environments for evaluating RL performance.
  • Benchmark RL results against conventional techniques.
  • Collaborate with product and research teams to innovate real silicon solutions.
  • Define data and control paths and AFE hardware requirements.
  • Develop complete system simulations for solution validation and performance analysis.
  • Create prototypes using TI products to demonstrate solutions.

Job Requirements

  • Currently pursuing a PhD in Electrical Engineering or related field with relevant background.
  • Cumulative GPA of 3.0/4.0 or higher.
  • Strong foundation in reinforcement learning, control theory, or optimization.
  • Experience with embedded control and real-time experimentation.
  • Proficiency in Python and Matlab/Simulink.
  • Skills in debugging hardware/software and delivering prototypes.
  • Ability to work collaboratively and creatively solve problems.
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