Systems Engineering Intern (Nanotech and Sensing)

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. Responsibilities System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application. Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products . Minimum Requirements - Currently pursuing PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience - Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: - Strong foundation in reinforcement learning, control theory or optimization algorithms. - Proven experience with embedded control, hardware in the loop, or real-time experimentation. - Proficiency in Python (e.g. PyTorch, stable-baselines), Matlab/Simulink. - Creative thinker with hands-on problem solving and data-driven experimentation skills. - Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution. - Experience in debugging HW/SW and delivering a prototype that meets requirements. - On-time delivery of solutions with high quality. - Works well with others and can brainstorm potential solutions together