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Cloud Systems and Solutions Engineering Intern
Cloud Systems and Solutions Engineering Intern-May 2024
Gdańsk
May 12, 2026
ABOUT INTEL
Intel creates world-changing technology that enriches the lives of every person on earth.
10,000+ employees
Technology
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About Cloud Systems and Solutions Engineering Intern

  Job Description

  Our Xeon Market Readiness Group is looking for a Cloud Systems and Solutions Engineering Intern who will help the team deliver high quality end-to-end solutions in AI, Analytics, HPC, Cloud and Data Platform areas.

  You will cooperate with architects and engineers to integrate and optimize software stacks to enable ease of deployment and maximize performance on Intel components in cloud environments by:

  Integrating off-the-shelf analytics and AI tools for validating the solution

  Implementing automation for deployment and benchmarking (Ansible, Terraform)

  Executing benchmark, gathering and analyzing results

  Delivering demos for conferences to showcase Intel features deployed in cloud environments (implementing components in containerized and microservices architecture)

  Continuously learning and deep diving into partners' technologies (Microsoft, Amazon, Google, VMware, Red Hat, SAP, Splunk, Elasticsearch, Fortanix, etc.)

  If you want to gain experience in building, tunning and benchmarking cloud stacks, if you like the research, experiments and learning the new things, if you want to have real impact on the customers hardware choices, work with world-wide recognized leaders and deliver reference architectures or solution briefs like:

  Multicloud Analytics Solution with VMware Cloud Foundation: https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/docs/vmw-vcf-solutions-reference-architecture-final.pdf

  Boosting AI Performence with Red Hat OpenShift 4.12 on 4th Gen Intel® Xeon® Scalable Processors: https://www.intel.com/content/www/us/en/partner/showcase/redhat/openshift-container-4-12-boost-ai-ref-arch.html

  Supply Chain Optimization at Enterprise Scale: https://www.intel.com/content/www/us/en/developer/articles/technical/supply-chain-optimization-at-enterprise-scale.html#gs.34nfg3

  you are someone who fits our team.

  Work model for this role

  This role will be eligible for fully on-site or hybrid work model. Hybrid model allows employees to split their time between working at Intel site and remotely.

  Qualifications

  Important for us:

  You must be a student in computer science or a related field and have a student status during the whole internship (min. 2 years)

  Linux environment proficiency and bash scripting

  Interest in one or more areas: Cloud, DevOps, AI and Analytics

  Determination, high energy, and enthusiasm in pursuit of the goal

  Good self-organization and attention to details

  Good command of English - written and verbal (at least at B2 level)

  An opportunity to learn/nice to have:

  Troubleshooting experience in Linux based or cloud environments

  Experience in automation (e.g. Ansible, Python), and version control (Git)

  Experience in technologies like: Docker, Kubernetes, Redhat OpenShift, Vmware

  Knowledge of AI tools like Tensorflow, OpenVino, scikit-learn

  Cloud Solutions experience (private and/or public - e.g. AWS, GCP, Azure)

  What we offer:

  Constant opportunities to develop your professional career through technical and soft skills trainings, taking part in innovation projects or rotational programs

  Learning and getting experience with the latest cloud technologies and Intel server technologies that create the future data center architecture

  Being a part of a creative, dynamic and experienced team with unique cross-technology skills

  Well-equipped campus with a free parking lot

  Integration events, Multisport / Holiday card

  Intel Great Place to Work program which gathers people who love running, cycling, squash, tennis, cross fit, photography, and many more.

  Medical and life insurance, ticket restaurant card, employee bonus

  Inside this Business Group

  The Data Center and Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCAI delivers the products and technologies - spanning software, processors, storage, I/O, and networking solutions that fuel cloud, communications, enterprise, and government data centers around the world.

  Inside this Business Group

  The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

  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.

  Benefits

  We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

  Working Model

  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. In certain circumstances the work model may change to accommodate business needs.

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