SPD Research Intern

Location
NA-PR-Salinas-Research
Workplace
On-site

About this role

Join Vylor—Powering the Future of Agriculture

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.

Join us to help scale innovation globally and shape what’s next in crop science.

Overview:

We’re seeking a motivated Computer Engineering student to join our team as an intern. This role offers hands-on experience in designing and implementing cloud-based software architecture to support operational efficiency and data-driven decision-making in seed processing.

Key Responsibilities:

  • Analyze system requirements and propose scalable software architecture solutions.
  • Develop and implement essential elements of a cloud-based application using the NET framework.
  • Collaborate with team members to integrate data sources and operational workflows.
  • Apply principles of clean architecture, modular design, and cloud-native development.
  • Document technical decisions and present progress to the team.

Preferred Qualifications:

  • Bachelor’s degree in computer engineering.
  • Currently enrolled in a Master’s program in Computer Science, Software Engineering, or related field.
  • Must have a minimum GPA of 3.00 or higher.
  • Familiarity with cloud platforms (Azure, AWS, GCP) and backend development (e.g., Python, Java, C#).
  • Understanding of microservices, containerization (Docker), and orchestration tools (Kubernetes).
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.

Learning Opportunities:

  • Exposure to real-world software architecture challenges in agricultural operations.
  • Experience with cloud-native development, DevOps practices, and system integration.

Opportunity to contribute to a strategic project that supports digital transformation in seed processing.

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