HPC Engineer

Responsibilities

• Architect, deploy, and manage large-scale distributed HPC environments supporting ASIC and GPU compute clusters
• Design and implement infrastructure automation using Ansible, Shell, and Python
• Administer and optimize workload schedulers including LSF, Slurm, and NC
• Perform deep troubleshooting and root cause analysis across compute, storage, networking, and scheduler layers
• Manage and support EDA ecosystem including tool deployment (Cadence, Synopsys) and licensing
• Implement monitoring and observability frameworks using Splunk and Grafana
• Drive capacity planning, performance tuning, and resource optimization for HPC workloads

Requirements

• 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)
• Hands-on experience managing large-scale HPC or EDA environments
• Strong skills in performance tuning, capacity planning, and workload optimization

Preferred Qualifications

• 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)
• Familiarity with cloud or hybrid HPC architectures (AWS/Azure HPC)

About the Company

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world.