Senior HPC AI Cluster Architect

hace 4 semanas

Madrid, Madrid, España Aitopics A tiempo completo
Job Title: Senior HPC AI Cluster Engineer

NVIDIA is seeking an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. As a key player in the most exciting computing hardware and software, you will contribute to the latest breakthroughs in artificial intelligence and GPU computing.

Key Responsibilities:
  • Design, implement, and maintain large-scale HPC/AI clusters with monitoring, logging, and alerting.
  • Manage Linux job/workload schedules and orchestration tools.
  • Develop and maintain continuous integration and delivery pipelines.
  • Develop tooling to automate deployment and management of large-scale infrastructure environments.
  • Deploy monitoring solutions for servers, network, and storage.
  • Perform troubleshooting from bare metal to application level.
  • Develop, redefine, and document standard methodologies to share with internal teams.
  • Support Research & Development activities and engage in POCs/POVs for future improvements.
Requirements:
  • A degree in Computer Science, Engineering, or a related field and 5+ years of experience.
  • Knowledge of HPC and AI solution technologies from CPUs and GPUs to high-speed interconnects and supporting software.
  • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s.
  • Excellent knowledge of Windows and Linux networking and internals, ACLs, and OS-level security protection.
  • Experience with multiple storage solutions such as Lustre, GPFS, zfs, and xfs.
  • Familiarity with newer and emerging storage technologies.
  • Python programming and bash scripting experience.
  • Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/Chef.
  • Deep knowledge of Networking Protocols like InfiniBand and Ethernet.
  • Deep understanding and experience with virtual systems.
  • Familiarity with cloud computing platforms.
Preferred Qualifications:
  • Knowledge of CPU and/or GPU architecture.
  • Knowledge of Kubernetes, container-related microservice technologies.
  • Experience with GPU-focused hardware/software.

We are looking for a highly skilled and experienced HPC Engineer to join our team. If you have a passion for building high-performance computing systems and a strong background in AI and HPC infrastructure, we encourage you to apply.

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