S
HPC Engineer
Accepting applicationsSandisk · Bengaluru, Karnataka, India
Full-Time Mid_senior AICadencePythonSynopsys
Posted
1d ago
Category
Eda
Experience
Mid_senior
Country
India
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
ExperiencedSenior HPC Engineer / Architectspecializing inLinux-based high-performance computing (HPC) environments,EDA workflows, andautomation-driven infrastructure. Proven expertise in designing, managing, and optimisinglarge-scale distributed HPC clusterssupportingASIC 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 jobs.accommodations@sandisk.com 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.
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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
ExperiencedSenior HPC Engineer / Architectspecializing inLinux-based high-performance computing (HPC) environments,EDA workflows, andautomation-driven infrastructure. Proven expertise in designing, managing, and optimisinglarge-scale distributed HPC clusterssupportingASIC 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 jobs.accommodations@sandisk.com 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.
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