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Software Engineering Intern
hace 2 semanas
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:
Designing, developing, and maintaining tools and automation frameworks that enhance Simics developer productivity.
Contributing to the creation and evolution of methodologies that ensure scalable, maintainable, and high-quality simulation environments.
Driving initiatives and projects from design through implementation and deployment.
Supporting and collaborating with Simics developers across Intel to identify challenges and deliver practical, impactful solutions.
Exercising judgment and discretion to develop solutions, remove obstacles, and redefine approaches.
Assessing risks and identifying efficient paths to deliver high-quality solutions in a timely manner.
Minimum Qualifications:
Minimum qualifications are required to be initially considered for this position.
Active student in Computer Science, Computer/Electrical/Electronic Engineering, or related engineering field.
At least 1 year of experience in software development and/or software validation (university projects count).
At least 1 year of experience in one of the following languages: C++, Python, or C (university projects count).
Intermediate to Advanced English level and communication skills.
Must have unrestricted - permanent right to work in Costa Rica.
Preferred Qualifications:
Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Experience in Simics modelling, QEMU or other software simulation technologies.
Experience in system software development.
NOTE: To be considered for this position, please submit your most updated resume in English.
Job Type:Student / InternShift:Shift 1 (Costa Rica)Primary Location: Costa Rica, San JoseAdditional Locations:Business group: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.Posting Statement: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.Position of TrustN/AWork Model for this Role
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.