Qorvo is looking to solve complex technical challenges in the semiconductor industry by leveraging data science and machine learning to optimize process and product performance, increase yields, and reduce costs.
Requirements
- Proficiency in Python and core data science libraries (pandas, scikit-learn, matplotlib, etc.).
- Experience with at least one deep learning or advanced ML framework (PyTorch, TensorFlow, or Keras).
- Familiarity with Git and SQL.
- Understanding of Apache Spark or distributed computing.
- Experience with cloud-based environments (AWS, GCP, or Azure).
Responsibilities
- Train, test, and deploy machine learning and AI models in Python, leveraging Spark and/or AWS as needed.
- Analyze large datasets to uncover insights that optimize process and product performance, increase yields, and reduce costs.
- Develop and evaluate predictive, diagnostic, and prescriptive models to support business decisions.
- Implement reproducible research practices including version control, testing, and documentation.
- Collaborate with engineers and data scientists to translate business challenges into data-driven solutions.
Other
- Currently pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Math, or related field.
- Minimum GPA of 3.0.
- Curiosity, strong problem-solving skills, and ability to communicate findings clearly.
- Strong presentation and storytelling skills with data.
- This position is not eligible for visa sponsorship by the Company.
