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

EA License No: 91C2918

Personnel Registration Number: R2091205