AI Infrastructure Engineer - Large-Scale GPU Clusters

SwapeTech; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

SwapeTech in Singapore seeks exceptional AI Engineers to build the next generation of AI infrastructure and MLSys platforms, focusing on large-scale systems rather than model research. You will design, deploy, and operate Kubernetes-based AI infra, RDMA networking, KV Cache memory systems, and CUDA-level performance enhancements.

You will collaborate with AI researchers, infrastructure architects, networking engineers, and platform teams to maximize efficiency, scalability, and reliability

Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering, or related fields.
• Strong software engineering and system design skills.
• Experience with distributed systems and HPC concepts.
• Proficiency in C++, Python, or Go.

Responsibilities

• Design, deploy, and operate large-scale Kubernetes-based AI infrastructure.
• Develop cluster governance, scheduling, and multi-tenancy.
• Optimize GPU orchestration and CUDA kernel performance.
• Improve observability, reliability, and scalability of AI platforms.

Skills

C++

Go

Python

Rust

Distributed Systems

GPU Programming

CUDA

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes GPU Operator

NVIDIA Network Operator

Prometheus

Grafana

OpenTelemetry

NCCL

UCX

Job description

SwapeTech in Singapore seeks exceptional AI Engineers to build the next generation of AI infrastructure and MLSys platforms, focusing on large-scale systems rather than model research. You will design, deploy, and operate Kubernetes-based AI infra, RDMA networking, KV Cache memory systems, and CUDA-level performance enhancements.

You will collaborate with AI researchers, infrastructure architects, networking engineers, and platform teams to maximize efficiency, scalability, and reliability