This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will be exploring cutting edge applications of reinforcement learning (RL) in next generation mixed signal and sensing systems. You will apply state of the art RL techniques to solve challenging problems in control, signal processing, and system level efficiency optimization – spanning domains such as power conversion, sensing and signal beamforming. You will develop intelligent control and adaptation strategies that push the limits of performance, efficiency, and robustness beyond traditional approaches. What you will do: Research and implement RL based algorithms for optimizing dynamic, multi-objective systems. Develop simulation and hardware in the loop environments to evaluate and validate RL performance. Benchmark RL results against conventional control and optimization techniques. Collaborate with TI’s product and research teams to translate concepts into real silicon and system innovations.
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Career Level
Intern
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees