We are hiring HPC Engineers (junior to senior) to support and scale a high-performance computing environment (CPU & GPU) used for advanced analytics and AI/ML workloads.

You will work on Linux systems, GPU clusters, and cloud platforms, helping teams run compute-intensive workloads efficiently.

If you have experience in Linux, cloud, or containers—and are keen to work on HPC—we encourage you to apply.

• Junior Engineer (2+ years)
• Senior Engineer (5+ years)
• Lead Engineer (8+ years)

We are open to candidates with strengths in either HPC, cloud, or platform engineering.

What You’ll Be Doing

• Manage and support Linux-based compute environments and clusters
• Monitor system performance and troubleshoot issues
• Support job scheduling tools (e.g. PBS, Slurm)
• Work with containers (Docker/Kubernetes) and cloud platforms
• Support GPU workloads and AI/ML applications (training, optimisation)
• Automate infrastructure using tools like Terraform or Ansible
• Collaborate with users to improve performance and reliability

You won’t be expected to know everything—we value depth in a few areas.

What We’re Looking For (De-risked Requirements)

Must-Have (Keep This Realistic)

• Experience with Linux administration (RHEL or similar)
• Exposure to cloud platforms (AWS, Azure, or GCP) OR containers
• Basic scripting or automation experience

Good to Have (Not Mandatory)

• HPC / cluster environments or job schedulers (PBS, Slurm)
• Kubernetes / Docker / Singularity
• GPU computing (CUDA, PyTorch, TensorFlow)
• Infrastructure as Code (Terraform, CloudFormation)
• Monitoring tools (Grafana, Prometheus, etc.)

Final offer based on experience and skillset

Role Details

• Location: Singapore
• Contract: 12 months (renewable)
• Work setup: (hybrid)

Why This Role

• Work on GPU, AI/ML, and high-performance systems
• Exposure to cloud + HPC environments (rare combination)
• Opportunity to grow into specialised HPC / platform engineering roles

Apply Now

If you have experience in Linux, cloud, or platform engineering and want to work on large-scale compute environments, we’d love to hear from you.

open to candidates transitioning into HPC”