AI / Machine Learning Engineering Intern
QorvoRichardson, TX, USJob descriptionResponsibilities
may include :
- Data Collection and Preprocessing : Gather and preprocess RF circuit data, including simulations, measurements, and real-world performance data.
- Feature Engineering : Identify relevant features and parameters for RF circuit analysis and design machine learning models to extract these features from raw data.
- Model Development : Create and train AI / ML models for RF circuit analysis, including predictive modeling, anomaly detection, and optimization algorithms.
- Algorithm Implementation : Implement AI / ML algorithms and integrate them into existing RF circuit analysis tools and workflows.
- Performance Evaluation : Evaluate the performance of AI / ML models and algorithms through extensive testing, validation, and benchmarking against traditional methods.
- Collaboration : Collaborate with RF engineers, software developers, and other cross-functional teams to ensure seamless integration of AI / ML solutions into RF circuit design and analysis processes.
- Documentation : Document your work, including algorithms, methodologies, and results, to facilitate knowledge sharing and future improvements.
Qualifications :
Currently enrolled in a graduate-level program in AI / MLStrong background in AI / ML, including experience with TinyML and embedded applicationsKnowledge of RF circuits and familiarity with simulation tools (e.g., Cadence, ADS, HFSS) is a plus.Strong problem-solving skills and the ability to work independently and collaboratively in a team.Excellent communication skills and the ability to present findings and results effectively.