Senior GPU Compute Platform Architect

Risewave Consulting, Inc.; Kuala Lumpur; On-site; MYR 180,000 - 280,000; Full time

Job summary

Risewave Consulting, Inc. in Kuala Lumpur is seeking an experienced Platform Engineer to lead end-to-end GPU compute architecture, HPC and AI infrastructure initiatives for enterprise workloads.

You will drive Kubernetes-based GPU scheduling, high-speed interconnects, and scalable cloud services while collaborating with product and sales teams to define roadmaps. The role demands hands-on GPU cluster experience, Linux/Kubernetes proficiency, and the ability to mentor a growing team as the

Qualifications

• Bachelor’s degree or above in Computer Science, Electronics, or related field.
• 5+ years in Cloud Computing, HPC, AI Infrastructure, or Data Centre Engineering.
• Hands-on 2+ years with GPU clusters, AI cloud platforms, or large-scale compute environments.
• Strong Linux, Docker, Kubernetes, Helm, and cloud-native ecosystems knowledge.
• Experience with Kubernetes GPU scheduling or Slurm cluster management.

Responsibilities

• Drive end-to-end architectural design and reviews for GPU servers and AI compute clusters.
• Assess hardware, interconnects, storage, and network topologies for performance.
• Lead platform operations, SLA management, and multi-tenant resource governance.
• Deploy and maintain GPU resource scheduling/orchestration platforms (Kubernetes/Slurm).
• Collaborate with product and sales to translate requirements into technical roadmaps.
• Support LLM training, fine-tuning, and inference deployment for enterprise workloads.

Skills

Cloud computing

HPC

AI infrastructure

Linux

Kubernetes

Docker

Vendor management

Bilingual (English/Mandarin)

Communication

Team leadership

Education

Bachelor's degree in CS/EE/related

Tools

Kubernetes scheduling

Slurm

DCGM

Prometheus

Grafana

Job description

Risewave Consulting, Inc. in Kuala Lumpur is seeking an experienced Platform Engineer to lead end-to-end GPU compute architecture, HPC and AI infrastructure initiatives for enterprise workloads.

You will drive Kubernetes-based GPU scheduling, high-speed interconnects, and scalable cloud services while collaborating with product and sales teams to define roadmaps. The role demands hands-on GPU cluster experience, Linux/Kubernetes proficiency, and the ability to mentor a growing team as the