Lead HPC Engineer

We are looking for aLead HPC Engineer to automate and modernize infrastructure, with a focus on Windows Workspaces and Linux HPC environments.

HPC powers simulation-driven product development, directly influencing time-to-market and engineering productivity across R&D operations. In this position, you will modernize the current platform to address pain points and roll it out across new accounts, supporting critical engineering workloads.

Responsibilities

• Drive the modernization of existing HPC infrastructure to resolve current pain points and roll out solutions in new accounts
• Design and oversee Multi-AZ elastic deployments that support simulation-driven product development
• Administer and tune HPC compute environments running PBS scheduler (v20.0.1)
• Enable primary engineering workloads, including Ansys, Simulia, Abaqus, LS-DYNA, and MATLAB
• Operate Windows Virtual Desktops supporting Ansys, CREO, and NX applications
• Migrate virtual desktops to Amazon WorkSpaces and/or NICE DCV on PCS
• Build scalable compute orchestration using Parallel Computing Service (PCS)
• Deploy and sustain front-end portals such as NICE EnginFrame, EF Portal, or Open OnDemand for job submission, monitoring, and administration
• Design storage solutions leveraging FSx for Lustre, FSx for Windows, EFS, and NetApp ONTAP
• Deliver high-performance remote desktop services with GPU visualization capability
• Partner with R&D engineering teams to boost productivity and shorten time-to-market

Requirements

• 5+ years of experience in high-performance computing (HPC) and cluster technologies
• At least 1 year of relevant leadership experience
• Expertise in Linux and Microsoft Windows system administration
• Proficiency in Virtual Desktop Infrastructure (VDI)
• Background in PBS scheduler and HPC job orchestration
• Skills in scalable storage solutions, including FSx for Lustre, FSx for Windows, and EFS
• Understanding of Multi-AZ elastic cloud deployments
• Familiarity with HPC portals such as NICE EnginFrame, EF Portal, or Open OnDemand
• Capability to support engineering workloads, including Ansys, Abaqus, and LS-DYNA
• Competency in GPU visualization and high-performance remote desktop technologies
• Excellent written and spoken English (B2+ level)

Nice to have

• Familiarity with LDAP