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: *************
EA License No: 91C2918
Personnel Registration Number: R2091205