Senior AI Infra Engineer — GPU Cluster & ML Platform

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Our client, a well-funded AI company, designs and runs large-scale compute infrastructure powering frontier model training and inference. They seek an infrastructure engineer to design, operate, and improve their GPU cluster platform, a deeply technical role at the junction of distributed systems and ML platform engineering.

You will own the compute platform, optimize GPU resource sharing, tackle bottlenecks across compute, storage and networking, and build automation and observability.

Qualifications

• 3+ years in large-scale infrastructure or distributed platforms.
• Strong knowledge of Kubernetes and containerized environments.
• Solid Linux systems, resource scheduling, storage, networking.
• Exposure to GPU clusters, distributed training is a plus.

Responsibilities

• Own the compute platform that supports large-scale AI model training and serving.
• Improve GPU resource sharing and scheduling across teams and workloads.
• Solve infrastructure bottlenecks across compute, storage, networking, and distributed communication.
• Develop platform capabilities that make cluster operations more automated, observable, and reliable.
• Work with AI engineering teams to improve workload performance and overall infrastructure efficiency.

Skills

Kubernetes

Linux

Distributed systems

Go

Python

C++

HPC networking

Job description

Our client, a well-funded AI company, designs and runs large-scale compute infrastructure powering frontier model training and inference. They seek an infrastructure engineer to design, operate, and improve their GPU cluster platform, a deeply technical role at the junction of distributed systems and ML platform engineering.

You will own the compute platform, optimize GPU resource sharing, tackle bottlenecks across compute, storage and networking, and build automation and observability.