Data Engineering Intern
Experience Level: Support
Job Type: Intern
Location: Salem, OR, US, 97302
Requisition ID: 10795
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.
Qorvo's Internship Program offers
- 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
Qorvo's Data Engineering Internships are offered in our High Performance Analog, business group. Specific projects and responsibilities will be determined based on the business needs at the time of the internship assignment.
Responsibilities may include
- 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 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.
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.
Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request.
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets – we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.
We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.
Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.