Data Engineering Intern

About the role

Qorvo supplies innovative semiconductor solutions that make a better world possible, combining product and technology leadership, systems-level expertise, and global manufacturing scale to solve customers' complex technical challenges across consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare, and aerospace/defense. Qorvo’s Internship Program is designed for college students currently enrolled in an accredited Bachelor’s, Master’s, or PhD program. The program offers real work experience, exposure to upper management, and the opportunity to pursue full‑time opportunities as available. Interns receive challenging, skill‑building assignments, mentoring and coaching from industry experts, launch‑and‑learn sessions and other learning opportunities, a collaborative team‑based work environment, networking and social events, and a final presentation to business leaders. The Data Engineering Internship is situated in Qorvo’s High Performance Analog business group, with specific projects and responsibilities determined by business needs at the time of the assignment.

Responsibilities

• Explore and analyze large, complex datasets to surface trends, anomalies, and actionable insights.
• Build, train, and validate machine learning models to support forecasting, classification, and optimization use cases.
• Engineer features from structured and unstructured data sources using Python and Spark on AWS.
• Design and evaluate experiments, applying statistical methods to assess significance and model performance.
• Communicate findings through clear visualizations, written summaries, and presentations to technical and non‑technical audiences.
• Partner with engineers and analysts to move promising models from prototype toward production.

Qualifications

• Currently pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Math, or a related field.
• Minimum GPA of 3.0.
• Proficiency in Python, including common data science libraries (pandas, scikit‑learn, NumPy).
• Coursework or hands‑on experience in statistics, machine learning, or experimental design.
• Familiarity with SQL and Git; exposure to Spark or cloud platforms is a plus.
• Strong organization skills and attention to detail.
• This position is not eligible for visa sponsorship by the Company.

Pay

Competitive hourly pay commensurate with experience: $31/hr – $42/hr (subject to change dependent on physical location). Posted salary ranges are made in good faith; Qorvo reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as external competitiveness and internal comparability.