Lead HPC Engineer

EPAM·Удалённо·вчера

We are looking for a Lead 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)