HPC Engineer

Responsibilities

• Architect, deploy, and manage large-scale distributed HPC environments across global locations, supporting ASIC and GPU compute clusters
• Design and implement infrastructure automation using Ansible, Shell, and Python for system lifecycle management
• Administer and optimize workload schedulers ( LSF, Slurm, NC ) including queue configuration, fair-share policies, and job prioritization
• Perform deep troubleshooting and root cause analysis across compute, storage, networking, and scheduler layers
• Collaborate with engineering teams to improve EDA workload performance and efficiency in global HPC environments
• Develop and deploy self-service automation solutions to reduce manual effort and improve system reliability
• Manage and support EDA ecosystem including tool deployment (Cadence, Synopsys), licensing, and workflow optimization
• Implement monitoring & observability frameworks using tools like Splunk, Grafana for proactive issue detection
• Drive capacity planning, performance tuning, and resource optimization for HPC workloads
• Create and maintain technical documentation, runbooks, and operational standards
• Provide technical leadership and mentoring , influencing HPC architecture and long-term strategy
• Techncal Skills
• HPC & Scheduling: LSF, Slurm, Network Computer (NC), Grid/Batch scheduling
• Operating Systems: RedHat Enterprise Linux (RHEL), CentOS
• Automation & Scripting: Ansible, Shell/Bash, Python
• EDA Tools: Cadence, Synopsys, EDA workflows & design environments
• Monitoring & Observability: Splunk, Grafana, Prometheus
• Storage & Filesystems: NFS, AutoFS, distributed storage systems
• Authentication & Access: UNIX/Linux integrated with Active Directory
• Infrastructure: On-premises & Hybrid HPC environments
• Remote Access & VDI: Exceed TurboX, VNC, nomachine
• Preferred Skills
• Extensive experience with job schedulers such as LSF, Slurm, or equivalent platforms
• Experience supporting EDA / semiconductor design environments
• Exposure to GPU computing and accelerator-based workloads
• Knowledge of EDA licensing systems and optimization
• Experience with Infrastructure as Code (IaC) and platform standardization
• Familiarity with cloud or hybrid HPC architectures (AWS/Azure HPC)
• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• 8+ years of experience in Linux system administration (RHEL/CentOS)
• Strong expertise in HPC cluster management and workload schedulers (LSF/Slurm)
• Proven experience in automation and scripting (Ansible, Shell, Python and AI integration)
• Hands-on experience managing large-scale HPC or EDA environments
• Strong skills in performance tuning, capacity planning, and workload optimization
• Excellent troubleshooting and problem-solving skills in complex production environments
• Ability to lead projects end-to-end and work with cross-functional teams

Benefits

Additional Information

Role Overview Experienced Senior HPC Engineer / Architect specializing in Linux-based high-performance computing (HPC) environments , EDA workflows , and automation-driven infrastructure . Proven expertise in designing, managing, and optimising large-scale distributed HPC clusters supporting ASIC EDA workloads .

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Company Intel

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