AI Software Engineering Undergraduate Intern

Costa Rica·San Joséentry

OtherSoftware

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Build and Deploy AI/Data Solutions: Contribute to the end-to-end development, integration, testing, and deployment of business intelligence, machine learning, and generative AI solutions.

Requirements Summary

Strong interpersonal skills and a collaborative spirit within globally distributed, diverse teams.

Technical Tools

OtherSoftware

Are you passionate about turning data and artificial intelligence into transformative real-world solutions? Intel's Artificial Intelligence and Data Analytics (AIDA) organization within Global IT is looking for a driven, curious, and proactive AI Software Engineering Undergraduate Intern. In this role, you will join a high-performing global engineering team delivering next-generation AI, machine learning, and advanced analytics capabilities directly to Intel's core business units-including Sales and Marketing, Finance, Trade, and Legal.

As an intern, you will contribute to the design, implementation, and optimization of end-to-end data workflows, machine learning models, Generative AI capabilities, and scalable architectures. You will develop both technical mastery and professional consulting acumen by solving real enterprise challenges in a collaborative, agile environment.

Responsibilities

~1 min read

→Build and Deploy AI/Data Solutions: Contribute to the end-to-end development, integration, testing, and deployment of business intelligence, machine learning, and generative AI solutions.
→Agile Engineering Collaboration: Actively participate as an embedded member of an Agile Persistent Team, attending sprint ceremonies, refining user stories with Scrum Masters and Product Owners, and delivering sprint commitments.
→Architecture and Technical Decision-Making: Participate in technical discussions, architectural evaluations, and code reviews alongside senior engineers and technical leads.
→Process Documentation: Maintain high-quality technical documentation, including data pipelines, API specifications, runbooks, and workflow diagrams to ensure solution maintainability.
→Continuous Improvement and System Health: Troubleshoot production issues, analyze root causes, and implement performance optimizations to meet reliability, scalability, and system-health targets.
→Value and Performance Tracking: Support the definition and implementation of operational metrics and performance KPIs across existing and emerging software solutions.
→DevOps and Standards: Leverage industry-standard engineering practices, including version control, automated testing, CI/CD pipelines, and DevOps workflows.

Ownership and Accountability: A proactive mindset with a strong sense of urgency, high personal standards, and commitment to project delivery.
Navigating Ambiguity: Comfort working with evolving requirements and the adaptability to pivot as business needs shift.
Effective Collaboration: Strong interpersonal skills and a collaborative spirit within globally distributed, diverse teams.
Clear Communication: Excellent verbal and written English communication skills to present ideas clearly to technical and non-technical stakeholders.
Passion for Growth: A continuous-learning mindset with natural curiosity and enthusiasm for exploring emerging AI and cloud technologies.

Requirements

~2 min read

Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Applied Experience: Hands-on experience (via academic coursework, capstone projects, hackathons, or prior internships) developing data pipelines or machine learning/deep learning models.
Enterprise Cloud and Data Platforms: Practical experience with Microsoft Azure services, Azure Data Factory, Databricks, Snowflake, or SQL Server Analysis Services (SSAS).
Analytics and Visualization: Experience designing dashboards and reports using Power BI (Power BI Desktop / Power BI Service) or Power Platform applications (Power Apps, Power Automate).
Software Engineering Best Practices: Working knowledge of version control systems (Git/GitHub/GitLab), environment management (virtual environments, virtual machines), and basic DevOps practices.
Agile Frameworks: Exposure to Scrum, Kanban, or Agile development methodologies.

Work Model

This position operates under Intel's Hybrid Work Model, which blends the flexibility of remote work with the collaboration, innovation, and culture of on-site engagement at your assigned Intel site.

Why Intel?

At Intel, we create world-changing technology that enriches the lives of every person on earth. As an intern, you are treated as a full team contributor from day one. You will receive mentorship from experienced technologists, participate in professional development programs, and build skills that launch your career.

Ready to take the next step in your career? Join us to make an impact and shape the future of AI.

Student / Intern

Shift 1 (Costa Rica)

Costa Rica, San Jose

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

N/A

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.