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Senior HPC and AI Operations Engineer
HybridFull-timeDevOps & SREElectronics ManufacturingEnterprise Software
Join an infrastructure team building and operating large-scale high-performance computing and AI clusters. This hybrid role supports accelerated computing platforms, research initiatives, and customer-facing infrastructure solutions in Yokneam Illit, Israel.
Responsibilities
- 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 and operating systems through software stacks and applications
- Collaborate with HPC, operating system, GPU, and systems specialists to architect and bring up large-scale performance platforms
- Support research and development activities and participate in proofs of concept and proofs of value
- Work with researchers, developers, and customers to improve workflows and develop differentiated infrastructure solutions
Requirements
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience
- At least 5 years of relevant experience
- Knowledge of HPC and AI technologies spanning CPUs, GPUs, high-speed interconnects, and supporting software
- Experience with workload scheduling and orchestration tools such as Slurm and Kubernetes
- Strong knowledge of Windows and Linux systems, including Red Hat/CentOS and Ubuntu
- Knowledge of networking, sockets, firewalls, iptables, Wireshark, ACLs, operating system security, TCP, DHCP, and DNS
- Experience with storage solutions such as Lustre, GPFS, ZFS, and XFS
- Python programming and Bash scripting experience
- Experience with automation and configuration management tools such as Jenkins, Ansible, and GitOps
- Knowledge of InfiniBand and Ethernet networking protocols
- Experience with virtual systems such as VMware, Hyper-V, or KVM
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud
Nice to have
- Knowledge of CPU or GPU architecture
- Kubernetes and containerized microservice technologies
- GPU-focused platforms such as DGX and CUDA
- RDMA fabrics, including InfiniBand or RoCE
Benefits
- Competitive salary
- Extensive benefits package
- Flexible work environment
- Diversity and inclusion initiatives