- Singapore Singapore
Full Time IT Application Engineer Jobs, Salary up to SGD 8,000 in ENTEGRIS ASIA PTE. LTD. - Maukerja
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Job Description
Responsibilities
Job Summary
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
Monitor and automate slurm cluster operations
Document system design and operational procedures
Requisite Criteria & Skills
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.
Working knowledge of containerization technologies, including Docker, and cloud-based HPC solutions.
Working knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, Packer, or Ansible.
Proficiency with job scheduling and resource management tools such as SLURM, PBS, or LSF.
Knowledge of storage architectures and distributed file systems, including Lustre, GPFS, or Ceph.
Strong understanding of network architecture and security best practices.
Understanding of license-server technologies and requirements, including FlexLM and DSLS.
Experience deploying AI-enabled engineering workflows that integrate large language models, simulation software, optimization frameworks, and HPC infrastructure.
Exposure to OpenFOAM and Python-based scientific computing environments
Familiarity with Google Vertex AI, MLOps, model deployment, or AI platform operations
Familiarity with secure AI deployment practices and controlled access to engineering software environments
Experience deploying custom software applications, collaborating with vendors, and supporting requirements capture and implementation
ENTEGRIS ASIA PTE. LTD.
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
Monitor and automate slurm cluster operations
Document system design and operational procedures
Requisite Criteria & Skills
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.
Working knowledge of containerization technologies, including Docker, and cloud-based HPC solutions.
Working knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, Packer, or Ansible.
Proficiency with job scheduling and resource management tools such as SLURM, PBS, or LSF.
Knowledge of storage architectures and distributed file systems, including Lustre, GPFS, or Ceph.
Strong understanding of network architecture and security best practices.
Understanding of license-server technologies and requirements, including FlexLM and DSLS.
Experience deploying AI-enabled engineering workflows that integrate large language models, simulation software, optimization frameworks, and HPC infrastructure.
Exposure to OpenFOAM and Python-based scientific computing environments
Familiarity with Google Vertex AI, MLOps, model deployment, or AI platform operations
Familiarity with secure AI deployment practices and controlled access to engineering software environments
Experience deploying custom software applications, collaborating with vendors, and supporting requirements capture and implementation
ENTEGRIS ASIA PTE. LTD.
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