Data Science Engineer Intern

Qorvo • Richardson, TX

114d • $31 - $42

About The Position

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet. Qorvo’s Internship Program is designed for college students currently enrolled in an accredited Bachelor’s, Master’s, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available.

Requirements

• Currently pursuing a BS, MS, or PhD in Data Science, Computer Science, Statistics, Applied Math, or related field.
• Minimum GPA of 3.0.
• 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.
• Curiosity, strong problem-solving skills, and ability to communicate findings clearly.

Nice To Haves

• Understanding of Apache Spark or distributed computing.
• Experience with cloud-based environments (AWS, GCP, or Azure).
• Strong presentation and storytelling skills with data.
• Understanding of semiconductor physics fundamentals.

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.

Benefits

• Challenging, skill-building assignments
• Mentoring and coaching from industry experts
• Launch & Learns and other learning opportunities
• Collaborative team-based work environment
• Networking and social events
• Final presentation to business leaders

What This Job Offers

• Career Level: Intern
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees