HPC Engineer

Sandisk; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Sandisk seeks an experienced Senior HPC Engineer/Architect to lead Linux-based HPC environments supporting ASIC EDA workloads. You will design, deploy, and optimize large-scale clusters, build automation, and manage job schedulers across global locations.

Ideal candidates bring 8+ years of Linux sysadmin, HPC cluster mgmt, and automation with Ansible, Python, and shell scripting. Familiarity with Cadence/Synopsys tools, IaC, and hybrid HPC is a plus.

Qualifications

• 8+ years of 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).

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.

Skills

HPC architecture

Automation scripting

Python

Ansible

Cluster management

Education

Bachelor’s degree in CS/Engineering

Tools

LSF

Slurm

NC

RHEL/CentOS

Grafana

Job description

Company Description Sandiskunderstands 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.

Company Description Sandiskunderstands 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. Sandiskmeets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibilityforward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globallyforinnovation, performance and quality. Sandiskhas two facilities recognized by the World EconomicForum as part of the Global Lighthouse Networkforadvanced 4IR innovations. These facilities were also recognized as Sustainability Lighthousesforbreakthroughs 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 movingforward.

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 managelarge-scale distributed HPC environmentsacross global locations, supportingASIC and GPU compute clusters
• Design and implementinfrastructure automationusingAnsible, Shell, and Pythonfor system lifecycle management
• Administer and optimize workload schedulers (LSF, Slurm, NC) includingqueue configuration, fair-share policies, and job prioritization
• Performdeep troubleshooting and root cause analysisacross compute, storage, networking, and scheduler layers
• Collaborate with engineering teams to improveEDA workload performance and efficiencyin global HPC environments
• Develop and deployself-service automation solutionsto reduce manual effort and improve system reliability
• Manage and supportEDA ecosystemincluding tool deployment (Cadence, Synopsys), licensing, and workflow optimization
• Implementmonitoring & observability frameworksusing tools likeSplunk, Grafanafor proactive issue detection
• Drivecapacity planning, performance tuning, and resource optimizationfor HPC workloads
• Create and maintaintechnical documentation, runbooks, and operational standards
• Providetechnical 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 supportingEDA / semiconductor design environments
• Exposure toGPU computing and accelerator-based workloads
• Knowledge ofEDA licensing systems and optimization
• Experience withInfrastructure as Code (IaC)and platform standardization
• Familiarity withcloud or hybrid HPC architectures (AWS/Azure HPC)

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of experience inLinux system administration (RHEL/CentOS)
• Strong expertise inHPC cluster management and workload schedulers (LSF/Slurm)
• Proven experience inautomation and scripting (Ansible, Shell, Python and AI integration)
• Hands-on experience managinglarge-scale HPC or EDA environments
• Strong skills inperformance tuning, capacity planning, and workload optimization
• Excellenttroubleshooting and problem-solving skillsin complex production environments
• Ability tolead projects end-to-endand 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 [e-mail] 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.