Senior HPC and AI Operations Engineer
Join an infrastructure team building and operating large-scale HPC and AI clusters. Work with accelerated computing platforms and collaborate with researchers, developers, and customers to improve workflows and develop infrastructure solutions.
Responsabilidades
- Deploy, manage, and maintain large-scale HPC and AI clusters
- Manage Linux workload scheduling and orchestration tools
- Support and maintain continuous integration and delivery pipelines
- Troubleshoot infrastructure from bare-metal hardware through operating systems, software stacks, and applications
- Support research and development activities, including proofs of concept and evaluations for future improvements
Requisitos
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience
- At least 5 years of experience
- Knowledge of HPC and AI technologies, including CPUs, GPUs, high-speed interconnects, and supporting software
- Experience with workload scheduling and orchestration tools such as Slurm or Kubernetes
- Strong knowledge of Windows and Linux, networking, operating-system internals, access controls, and security protections
- Experience with storage solutions such as Lustre, GPFS, ZFS, or XFS
- Python programming and Bash scripting experience
- Experience with automation and configuration-management tools such as Jenkins, Ansible, or GitOps
- Knowledge of InfiniBand and Ethernet networking protocols
- Experience with virtual systems such as VMware, Hyper-V, or KVM
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Se valora
- Knowledge of CPU or GPU architecture
- Kubernetes and container-based microservices experience
- Experience with GPU-focused platforms such as DGX and CUDA
- Experience with RDMA fabrics such as InfiniBand or RoCE
Beneficios
- Competitive salary
- Extensive benefits package
- Flexible work environment
- Diversity- and inclusion-focused workplace