Hpc Infrastructure & Ai Engineer
pCDS, an HPE company ,(CDS) is a wholly owned subsidiary of Hewlett Packard Enterprise (HPE), providing field service capabilities to HPE customers as well delivering the difference in business oriented services, such as development, support and maintenance of applications, virtualisation, automation, cloud and infrastructure administration.
/ppCDS is present in 11 European countries with more than **** employees and embraces all of HPE's values and commitments to employees and customers alike.
/ph3Job Description /h3pWe are looking for an HPC AI Infrastructure Engineer to join our international team.
The successful candidate will be involved in the design, implementation, and management of HPC and cloud infrastructures supporting large-scale AI and Machine Learning applications.
/ppThe ideal candidate combines strong system administration skills in HPC environments with a solid background in DevOps/CloudOps, helping to ensure our advanced computing systems and workflows are scalable, performant, and secure.
/ph3Key responsibilities /h3ulliDesign, configure, and maintain HPC infrastructures and cloud environments for AI/ML workloads.
/liliOptimize CPU/GPU clusters, high-speed networking, and parallel storage systems.
/liliAutomate deployment, monitoring, and management processes (Infrastructure as Code).
/liliIntegrate orchestration tools (Kubernetes, Slurm, PBS, etc.) to manage distributed workloads.
/liliSupport users and research teams in running AI/HPC applications.
/liliCollaborate with DevOps engineers, data scientists, and system engineers to ensure performance, reliability, and security.
/liliDevelop and maintain scripts and backend APIs to support infrastructure operations.
/li /ulh3Requirements /h3ulliMaster's degree or PhD in Computer Science, Engineering, or a related field.
/liliProven experience in designing and managing HPC clusters, including GPU-based environments and technologies such as CUDA and the NVIDIA stack.
/liliKnowledge of cluster management tools (e.g., Slurm, PBS, etc.).
/liliStrong expertise in Linux.
/liliExperience with containers and orchestration (Docker, Kubernetes).
/liliProficiency in scripting (Python).
/liliFamiliarity with CI/CD tools (Jenkins, GitHub Actions) and Infrastructure as Code (Ansible, Terraform).
/liliGood understanding of high-performance networking and storage.
/liliKnowledge of cloud environments (AWS, Azure, GCP).
/liliAwareness of cybersecurity best practices.
/li /ulh3What we offer /h3ulliA role within an innovative, international, and technologically advanced environment.
/liliOpportunities for technical and professional growth on cutting-edge projects.
/liliContinuous training in HPC, AI, and cloud technologies.
/liliThe chance to contribute to solutions that enable the next generation of AI.
/li /ulpBe challenged.
Be inspired.
Help us deliver the difference.
/ppAt CDS we are an equal opportunity employer.
We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age or disability.
/ppVisit our privacy policy here: /p pHere you can access our GDPR policy: /p pCome to CDS, we are waiting for you!!
/pp#WeDeliverTheDifference /p #J-*****-Ljbffr
/ppCDS is present in 11 European countries with more than **** employees and embraces all of HPE's values and commitments to employees and customers alike.
/ph3Job Description /h3pWe are looking for an HPC AI Infrastructure Engineer to join our international team.
The successful candidate will be involved in the design, implementation, and management of HPC and cloud infrastructures supporting large-scale AI and Machine Learning applications.
/ppThe ideal candidate combines strong system administration skills in HPC environments with a solid background in DevOps/CloudOps, helping to ensure our advanced computing systems and workflows are scalable, performant, and secure.
/ph3Key responsibilities /h3ulliDesign, configure, and maintain HPC infrastructures and cloud environments for AI/ML workloads.
/liliOptimize CPU/GPU clusters, high-speed networking, and parallel storage systems.
/liliAutomate deployment, monitoring, and management processes (Infrastructure as Code).
/liliIntegrate orchestration tools (Kubernetes, Slurm, PBS, etc.) to manage distributed workloads.
/liliSupport users and research teams in running AI/HPC applications.
/liliCollaborate with DevOps engineers, data scientists, and system engineers to ensure performance, reliability, and security.
/liliDevelop and maintain scripts and backend APIs to support infrastructure operations.
/li /ulh3Requirements /h3ulliMaster's degree or PhD in Computer Science, Engineering, or a related field.
/liliProven experience in designing and managing HPC clusters, including GPU-based environments and technologies such as CUDA and the NVIDIA stack.
/liliKnowledge of cluster management tools (e.g., Slurm, PBS, etc.).
/liliStrong expertise in Linux.
/liliExperience with containers and orchestration (Docker, Kubernetes).
/liliProficiency in scripting (Python).
/liliFamiliarity with CI/CD tools (Jenkins, GitHub Actions) and Infrastructure as Code (Ansible, Terraform).
/liliGood understanding of high-performance networking and storage.
/liliKnowledge of cloud environments (AWS, Azure, GCP).
/liliAwareness of cybersecurity best practices.
/li /ulh3What we offer /h3ulliA role within an innovative, international, and technologically advanced environment.
/liliOpportunities for technical and professional growth on cutting-edge projects.
/liliContinuous training in HPC, AI, and cloud technologies.
/liliThe chance to contribute to solutions that enable the next generation of AI.
/li /ulpBe challenged.
Be inspired.
Help us deliver the difference.
/ppAt CDS we are an equal opportunity employer.
We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age or disability.
/ppVisit our privacy policy here: /p pHere you can access our GDPR policy: /p pCome to CDS, we are waiting for you!!
/pp#WeDeliverTheDifference /p #J-*****-Ljbffr