IT Application Engineer

Entegris Asia Pte Ltd; Santo Niño 1st; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Entegris Asia Pte Ltd in the Philippines is seeking an IT Application Engineer – R&D Application Support with deep expertise in modeling and simulation software on Linux HPC clusters. You will install, configure, deploy, and manage software packages on Linux-based cloud infrastructure, ensuring licensing, security, and performance align with project goals.

The role collaborates with data scientists and engineers to deploy scalable workloads, maintain SLURM clusters, and optimize costs while

Qualifications

• Experience supporting modeling and simulation software environments.
• Experience with Ansys, Schrodinger, AMS, FEA/CFD/DFT/MD tools.
• Experience building, deploying, and sustaining SLURM Linux clusters.
• Experience with SaaS and multi-cloud environments (Azure, GCP, AWS).
• Experience in an Agile development environment.
• Hands-on experience with Google Cloud Platform (GCP) and related tools.

Responsibilities

• Install and manage software packages on HPC and storage infrastructure.
• Optimize HPC configurations to improve software speed.
• Collaborate with data scientists to deploy scalable modeling workloads.
• Ensure security, scalability, and reliability of HPC in the cloud.
• Design networking solutions for license servers and Cloud.
• Deploy and maintain AI and simulation workflows on cloud.
• Manage licenses for commercial software.
• Optimize HPC cloud resources for cost efficiency.
• Provide technical leadership in cloud and HPC systems management.

Skills

Modeling and Simulation

HPC Clusters

GCP

Linux

Cloud Architecture

Ansys/Schrodinger/AMS

SLURM

SaaS

Agile

Networking & Security

Job description

About the role

Our team is looking for a highly skilled IT Application Engineer – R&D Application Support with expertise in Modeling and Simulation software applications running on Linux hardware clusters. The selected individual has expertise in installing, configuring, deploying, updating, and managing software application packages running in Linux based Cloud infrastructure, understanding various application licensing models, understanding networking protocols, network architecture, and security best practices such as identity and access management, encryption, and secure network design to ensure projects align with business goals, while driving innovation and continuous improvement.

Key responsibilities

• Install and manage software packages that run on High-Performance Compute (HPC) and storage infrastructure that supports scientific workloads

• Optimize computing speeds of software by optimizing HPC configurations

• Collaborate with data scientists and engineers to deploy scalable modeling and simulation workload in an HPC environment

• Ensure the security, scalability, and reliability of HPC systems in the cloud

• Work with infrastructure team to design networking solutions to various license servers based on FlexLM and other technologies

• Deploy and maintain AI and simulation workflows on cloud

• Maintain and allocate licenses for commercial software

• Optimize HPC cloud resources for cost-effective and efficient use

• Drive innovation and stay current with the latest in cloud services and industry standard processes

• Provide technical leadership and guidance in cloud and HPC systems management

About you

• Experience supporting modeling and simulation software environments

• Experience with Ansys, Schrodinger, AMS and other modeling and simulation tools, FEA, CFD, DFT, and MD

• Experience with building, deploying, and sustaining SLURM Linux based clusters

• Experience with SaaS

• Exposure to multi-cloud environments (Azure, GCP, AWS)

• Experience in an Agile development environment

• Prior work with application and user support and training in a support role

• Four or more years of experience in cloud computing and application development

• Two or more years of hands‑on experience with Google Cloud Platform (GCP) and related platform tools

• Demonstrated expertise in cloud computing and cloud architecture, preferably within GCP environments