Digital Supply Chain Summer​/Fall Co-Op

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition

The Supply Chain Summer/Fall Co-Op will work closely with the Digital Supply Chain team on various projects involved in Supply Chain digital transformation. This person will be tasked to explore sdvanced analytic solutions to help improve and expedite supply chain digital transformation. The person will learn to identify key supply chain planning optimization opportunities and ultimately develop solutions to achieve the desired goals.

The candidate will work with a mentor and the job responsibilities will include:

• Design and pilot cutting-edge optimization and/or AI algorithms to solve real problems in the Supply Chain domain
• Develop new algorithms or improve existing ones using programming languages such as Python and other visual programming tools such as Knime or Alteryx or Microsoft SSIS
• Establish best practices for data collection, preparation, and analysis
• Design and implement experiments to test hypotheses and improve ML models
• Collaborate with other supply chain team members, AI architects, IT

The ideal candidate is expected to meet following requirements:

• Pursuing a Ph.D. in Industrial Engineering or Supply Chain or related fields
• Strong background in one or both areas is a must:
• Strong theoretical knowledge of key areas in AI/ML. In particular, experiences of using the reinforcement learning in the past is preferred.
• Familiar with optimization theories and methodologies, and have experiences using optimization solver, e.g., Gurobi, CPLEX, or open-source solvers etc.
• General knowledge of Industrial Engineering principles, Supply Chain Management, inventory management, and/or production control.
• Excellent programming skills in Python. Knowledge of machine learning frameworks such as PyTorch, Tensorflow, and/or Keras. Knowledge of SQL and working with large datasets.
• Excellent written and oral communication skills
• 6-month Co-Op is strongly preferred (June-Dec 2026)

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at a