Jobs / Costa Rica / Intel Corporation
AI Software Engineering Undergraduate Intern
Intel Corporation · 🌍 Costa Rica, San Jose
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Intel Corporation
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Intel Corporation →
About the role
Job Details: Job Description: 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. The primary responsibilities for this role will include, but are not limited to: • 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. A successful candidate will have proven experience demonstrating the following skills and behavioral traits: • 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. Qualifications: Minimum Qualifications : Minimum qualifications are required to be initially considered for this position. • Currently enrolled in an accredited Bachelor's degree program in Computer Science, Software Engineering, Information Technology, Computer Engineering, Data Science, or a closely related discipline, with at least 75 percent of your degree coursework completed. (Candidates enrolled in a Master's degree program in a related field with no prior professional experience are also eligible). • Available to work a minimum of 30 hours per week. • Able to commit to an internship program of at least 1 year (12+ months). • Working professional Eng