AI & HPC Systems Lead for GPU Clusters

KLA; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

KLA is seeking a System Design Engineering Manager specializing in AI Systems and High‑Performance Computing (HPC) to lead the platform for DL training and inference within the LS-SWIFT division of the Global Products Group. You will guide AI infrastructure design, optimization, and collaboration across hardware and software teams to accelerate innovation.

You will mentor engineers, drive a technical roadmap for DL/AI in HPC, and ensure seamless integration of AI workloads with existing clusters

Qualifications

• Proven track record leading AI/HPC engineering teams.
• Familiarity with TensorFlow and PyTorch.
• Experience with Slurm/OpenMPI.
• Strong GPU/CUDA programming knowledge.

Responsibilities

• Lead engineers and system architects to develop the platform for DL training and inference.
• Define the technical vision, strategy, and roadmap for DL/AI systems within the HPC domain.
• Collaborate with hardware and software teams to design and optimize AI infrastructure.
• Ensure seamless integration of AI workloads with existing HPC clusters.
• Oversee GPU-based cluster management and ensure scalable AI workloads.
• Benchmark AI models and algorithms on HPC clusters.
• Communicate technical progress, risks, and opportunities to senior leadership.

Skills

Team management

AI/HPC

TensorFlow/PyTorch

CUDA programming

Docker/Kubernetes

Tools

Slurm

OpenMPI

GPU clusters

Docker

Kubernetes

Job description

KLA is seeking a System Design Engineering Manager specializing in AI Systems and High‑Performance Computing (HPC) to lead the platform for DL training and inference within the LS-SWIFT division of the Global Products Group. You will guide AI infrastructure design, optimization, and collaboration across hardware and software teams to accelerate innovation.

You will mentor engineers, drive a technical roadmap for DL/AI in HPC, and ensure seamless integration of AI workloads with existing clusters