Cluster Lifecycle Management Lead the evaluation planning configuration and physical virtual deployment of multiple large-scale CPU GPU clusters System Administration Perform expert-level Linux system administration including kernel tuning security hardening and OS lifecycle management e g RHEL Ubuntu or Rocky Linux Workload Management Act as the subject matter expert for SLURM managing complex partitioning resource quality of service QoS and scheduling optimization for mixed workloads Infrastructure Design Architect and build the physical and logical infrastructure for HPC including high-speed fabric integration InfiniBand Ethernet and power cooling planning Software Stack Modules Maintain and curate the HPC application stack using software management tools like LMOD or Tcl Modules ensuring researchers have access to optimized compilers libraries MPI CUDA and applications GPU Optimization Spec and tune GPU environments e g NVIDIA H100 B200 focusing on GPUDirect NVLink topologies and containerized runtimes like Apptainer Singularity Troubleshooting Performance Conduct deep-dive root cause analysis for complex system failures and performance bottlenecks across compute network and software layers Cross-Functional Leadership Closely own infrastructure projects by coordinating with Networking low-latency fabric and Security compliance identity management to ensure all builds meet enterprise standards Experience with GPU-aware MPI implementations and performance profiling tools e g NVIDIA Nsight Tau Knowledge of container orchestration in HPC e g Kubernetes for AI ML workloads alongside SLURM Certifications such as RHCE Red Hat Certified Engineer or relevant NVIDIA InfiniBand technical training Education BS MS in Computer Science Electrical Engineering or a related field HPC Experience 6 years of hands-on experience managing production-grade HPC clusters Scheduler Expertise Deep proficiency in SLURM administration including writing custom prolog epilog scripts and managing GRES Generic Resources for GPUs Linux Mastery Advanced knowledge of Linux internals shell scripting Bash and at least one high-level language Python or Go Automation Extensive experience with configuration management and provisioning tools e g Ansible Terraform xCAT or Warewulf Networking Familiarity with HPC-specific networking such as InfiniBand NDR HDR and RoCE v2

📌 It Engineer 4 (Bengaluru)
🏢 Lam Research
📍 Bengaluru