Digital Supply Chain SummerFall CoOp JuneDec 27

Skyworks; Irvine (CA); On-site; USD 40,000 - 68,000; Part time

Job summary

Skyworks invites university students to join a Summer/Fall Co-Op starting June/July 2027 and continuing through December 2027. You will work with the supply chain team on automation, optimization, and agentic AI initiatives in a fast-paced environment.

You will gain hands-on experience in planning, inventory, and data-driven decision support while collaborating across functions and contributing to real-world projects at Skyworks in Irvine.

Qualifications

• Must be a student pursuing an MS/Ph.D. degree in Engineering, Supply Chain, Operations, or Analytics.
• Strong analytical skills and ability to translate data into high level analysis and planning.
• Strong Python (pandas) and SQL with completed analytics or software project; ability to explain technical work.

Responsibilities

• Build small automations on live planning, inventory, and exception processes using Python, scheduled queries, or KNIME workflows.
• Prototype optimization or rules-based decision support solutions with measurable metrics.
• Explore agent-assisted workflows (retrieval, summarization, actions) for defined specifications.

Skills

Python

SQL

Data analysis

LLM familiarity

Education

MS/PhD candidate in Engineering or Analytics

Tools

Power BI

Tableau

QlikView

Job description

Job Description

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 ID: 78594

Description

We are looking for a Summer/Fall Co-Op (starting from June/July to December 2027) to join us. This individual will work closely with other team members within the supply chain organization.

Responsibilities

The Co-Op is expected to be exposed to below few areas:

1. Automation: Build small, reliable automations on live planning/inventory/exception processes. You will take those repeatable steps and turn them into dependable tools - scheduled queries, Python jobs, or workflows with tools like Knime that will refresh automatically.
2. Optimization: Prototype optimization or rules-based decision support solutions and compare it to the current heuristic, with a clear metric. You will be tasked using solvers, e.g., HiGHs, to model and solve the problems as needed.
3. Agentic AI: Explore agent-assisted workflows (retrieval, summarization, recommended actions) against well-defined specifications and features, subject to human review and approval.

Other assignements not list above may also been required, depending on the needs at that time.

Required Experience and Skills

• Must be a student, enrolled in a university making forward progress towards a MS/Ph.D. degree, preferably majoring in Engineering, Supply Chain, Operations, or Analytics.
• Strong analytical skills with the ability to translate data into high level analysis and supply planning.
• Strong Python (pandas/scripting), SQL with completed analytical or software project is preferred. Being able to explain technical work to people is strongly preferred.
• Experience of building AI agents for developing practical applications is strongly desired and with good understanding or familiarity with LLM.
• Communicates effectively and proactively, engaging stakeholders across the organization as needed.

Desired Experience and Skills

• Domain knowledge of supply chain is a plus but not required.
• Statistical/mathematical knowledge and algorithmic modeling capabilities and with knowledge of optimization techniques a plus.
• Experience with Business Intelligence Software (i.e., Power BI, Tableau, QlikView) a plus.

The typical pay range for an Engineering intern across the U.S. is currently USD $29.00 - $49.00 per hour and for a Non-Engineering intern across the U.S. is currently USD $23.00 - $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 [e-mail].