The System Automation and Modeling Methodology (SAMM) team is part of the Central Engineering Group (CEG). We are enabling the next generation of simulation technology by empowering Simics developers across Intel with robust, scalable, and centralized tools, automation, and methodologies. Our mission is to enhance productivity and consistency in Simics-based development, ensuring Intel delivers the highest-quality simulation products to accelerate design, validation, and software development.
We collaborate closely with Simics development teams and simulation consumers to define and implement best practices, frameworks, and automation that streamline simulation workflows and improve overall efficiency and integration.
We are looking for a Software Engineering Intern to contribute to developing and improving our automation infrastructure, modeling methodologies, and developer enablement tools.
The primary responsibilities for this role will include, but are not limited to:
Minimum Qualifications:
Minimum qualifications are required to be initially considered for this position.
Preferred Qualifications:
Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
NOTE: To be considered for this position, please submit your most updated resume in English.
Student / Intern
Shift 1 (Costa Rica)
Costa Rica, San Jose
Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
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.
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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.