HPC Engineer

Company Description

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 we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

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 .

Key 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)

Qualifications

- 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

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.