We are seeking a Lead HPC Engineer to automate and modernize infrastructure, focusing on Windows Workspaces and Linux HPC environments. HPC is the engine behind simulation-driven product development, directly impacting time-to-market and engineering productivity across R&D operations. In this role, you will modernize the current platform to alleviate pain points and deploy it across new accounts, supporting critical engineering workloads. Responsibilities Lead the modernization of existing HPC infrastructure to alleviate current pain points and deploy solutions in new accounts Design and manage Multi-AZ elastic deployments to support simulation-driven product development Administer and optimize HPC compute environments running PBS scheduler (v20.0.1) Support primary engineering workloads, including Ansys, Abaqus, LS-DYNA, and MATLAB Manage Windows Virtual Desktops supporting Ansys, CREO, and NX applications Transition virtual desktops to Amazon WorkSpaces and/or NICE DCV on PCS Implement scalable compute orchestration using Parallel Computing Service (PCS) Deploy and maintain front-end portals such as NICE EnginFrame, EF Portal, or Open OnDemand for job submission, monitoring, and administration Architect storage solutions leveraging FSx for Lustre, FSx for Windows, EFS, and NetApp ONTAP Enable high-performance remote desktop services with GPU visualization capability Collaborate with R&D engineering teams to improve productivity and reduce 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 command of written and spoken English (B2+ level) Nice to have Familiarity with LDAP
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10330481
- Position Id: 46828a23dee55f298f0a8144f66bf19d
- Posted 2 hours ago
