HPC Engineer

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Skills you'll use

What you'll do

• 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

Who can apply

• 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
• 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

About Sandisk

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