HPC & Scientific Computing Engineer

Our client is a global technology-driven manufacturer at the forefront of scientific innovation, leveraging HPC, cloud computing, AI, and advanced modeling & simulation technologies to support research and engineering teams worldwide. This is an opportunity to work on cutting-edge digital engineering platforms within a highly collaborative and innovation-focused environment.

The Role

We are seeking an HPC & Scientific Computing Engineer to support mission-critical modeling, simulation, and AI applications running on Linux-based HPC and cloud environments. You will work closely with scientists, engineers, and infrastructure teams to deliver scalable, secure, and high-performing research platforms.

Key Responsibilities

• Deploy, manage, and optimize scientific applications such as Ansys, Schrodinger, AMS, and OpenFOAM.
• Build and maintain Linux-based HPC clusters using SLURM.
• Support cloud HPC workloads across GCP, Azure, and AWS.
• Manage software licensing infrastructure including FlexLM and DSLS.
• Enable AI-powered engineering and simulation workflows.
• Automate operations and improve platform performance, reliability, and security.
• Collaborate with research and engineering teams to support computational workloads.

Requirements

• Experience with HPC, Linux, and cloud infrastructure.
• Hands-on experience with SLURM, PBS, or LSF.
• Knowledge of scientific computing, simulation, CFD, FEA, DFT, or Molecular Dynamics.
• Experience with Docker, Terraform, Ansible, or Infrastructure-as-Code tools.
• Familiarity with distributed storage technologies such as Lustre, GPFS, or Ceph.
• Exposure to AI/ML platforms, MLOps, Vertex AI, or scientific computing environments is advantageous.

Wilson Tay
Direct Line: [6697 7866](tel:6697 7866)
EA License No: 91C2918
Personnel Registration Number: R2091205