Software Engineer Graduate Programme 2026 - Business Process Re-Engineering.

Apple is a place where extraordinary people gather to do their best work. Together, we build products and experiences people once couldn’t have envisioned—and now can’t imagine living without. Are you excited by the idea of making a real impact? Are you prepared to dream big? Then a career with Apple might be your dream job! The Apple Supply Chain Automation, Insights and Monitoring team has developed a 23-month graduate programme designed to prepare you for tackling some of the most complex challenges in global supply chain management!

Description

This programme will give you exposure to key areas such as advanced analytics, software development, machine learning, optimization, and automation. As a participant, you will begin your journey with us at Apple’s European Supply Chain Headquarters in Cork, Ireland, where you’ll train alongside industry-leading professionals. Here, we will provide you with a mix of on-the-job learning, mentoring, and formal training in cutting-edge supply chain technologies. If you have strong technical skills, a passion for solving complex problems, and thrive in collaborative environments, this could be the opportunity of a lifetime. We’d love to hear from you!

Our Supply Chain Automation, Insights and Monitoring team is dedicated to solving complex global supply chain challenges using advanced technology and innovative solutions.

Minimum Qualifications

BSc (Hons), M.Sc, or equivalent in Computer Science, Data Science, Mathematics, Engineering, or a related field, final-year graduate and postgraduate students on track to achieve a minimum of a 2.1, graduating in 2027 and available to begin July 5, 2027
Strong programming skills in Python, R, or similar languages.
Experience in developing machine learning models or optimization algorithms.
Understanding of data processing pipelines, ETL processes, and data visualization tools.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.

Preferred Qualifications

Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).
Proficiency in SQL and working with large-scale relational databases.
Exposure to supply chain management concepts or operations research.
Experience with DevOps tools, containerization (e.g., Docker), and version control
systems (e.g., Git).
Proven ability to manage multiple priorities in a fast-paced environment.