Texas Instruments

Systems Engineering Intern (Nanotech and Sensing)

Job Description

Posted on: 
2025-12-26

Responsibilities

  • Research and implement reinforcement learning algorithms for dynamic systems optimization.
  • Develop simulation and hardware in the loop environments for RL performance evaluation.
  • Benchmark RL results against conventional techniques.
  • Collaborate with product and research teams to translate concepts into silicon innovations.
  • Develop algorithms for sensor data calibration and analysis.
  • Define hardware requirements and work on prototype systems.
  • Monitor competitive landscape for performance benchmarks and new applications.

Job Requirements

  • Currently pursuing a PhD in Electrical Engineering or related field with algorithm and signal processing background.
  • Cumulative GPA of 3.0/4.0 or higher.
  • Strong foundation in reinforcement learning and control theory.
  • Experience with embedded control and real-time experimentation.
  • Proficiency in Python and Matlab/Simulink.
  • Creative problem-solving and data-driven experimentation skills.
  • Experience in debugging hardware/software and delivering prototypes.
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