Cloud HPC Solutions Architect (TPU & AI)

Google Inc.

Singapore

On-site

SGD 180,000 - 280,000

Full time

8 days ago

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Job summary

Google Cloud in Singapore seeks a Specialist Customer Engineer to accelerate Google's TPU solutions for customers in APAC. You will work with sales teams to articulate technical value and design cloud-based AI/ML deployments that are scalable and secure.

You will partner with product and engineering teams to stay ahead of industry trends, lead proofs of concept, and help customers optimize workloads with high-performance computing technologies across data centers.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years in cloud-native or HPC infra architecture in pre-sales/solutions/deployment roles.
  • Experience building distributed AI/ML workloads with PyTorch/JAX/vLLM/SGLang and schedulers (Kubernetes/Slurm) on accelerator hardware.
  • Experience with Linux, cluster control planes, and data center integration (compute, networking, storage).

Responsibilities

  • Drive pre-sales strategy and build go-to-market solutions with customers and partners to land TPU deployments.
  • Advise on end-to-end TPU architecture and integration across software stacks and environments.
  • Guide customers through technical qualification, hardware setup, OS/firmware upgrades, telemetry integration, and maintenance workflows.
  • Profile and optimize large-scale training/inference workloads on TPU topologies.

Skills

Cloud HPC architecture
Pre-sales strategy
Distributed AI/ML
Technical advisory
APAC customer engagement

Education

Bachelor's degree

Tools

Kubernetes
Slurm
Prometheus
Redfish/BMC
Linux

Job description

Google Cloud in Singapore seeks a Specialist Customer Engineer to accelerate Google's TPU solutions for customers in APAC. You will work with sales teams to articulate technical value and design cloud-based AI/ML deployments that are scalable and secure.

You will partner with product and engineering teams to stay ahead of industry trends, lead proofs of concept, and help customers optimize workloads with high-performance computing technologies across data centers.

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