Senior HPC Solutions Engineer – Cloud TPU Pre-Sales

GOOGLE ASIA PACIFIC PTE. LTD.

Singapore

On-site

SGD 210,000 - 320,000

Full time

2 days ago

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Job summary

Google Asia Pacific Pte. Ltd.

seeks Specialist Customer Engineers to accelerate Cloud customer success with domain-specific HPC expertise, focusing on TPU deployments and scalable AI workflows. You will partner with technical Sales teams as a subject matter expert in HPC to differentiate Google Cloud, develop cloud solutions, and engage in proofs of concepts, while troubleshooting technical questions and roadblocks.

Qualifications

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud-native or HPC infrastructure architecture in a customer-facing pre-sales, solutions architecture, or deployment engineering role.
Experience developing, deploying, and orchestrating distributed AI/ML workloads using modern frameworks (e.g., PyTorch, JAX, vLLM, or SGLang) and job schedulers (e.g., Kubernetes or Slurm) on AI accelerator hardware.
Experience with Linux host software, cluster control planes, and data center infrastructure integration (compute, high-speed networking, and storage).

Responsibilities

Drive pre-sales technical strategy and build go-to-market solutions with customers and data center hosting partners to accelerate business cycles, resolve technical objections, and land large-scale Google Cloud TPU agreements and deployments across APAC.
Serve as a trusted technical advisor on end-to-end architecture and integration strategies across the TPU software stack and customer or partner environments (fleet management systems, job schedulers, IaaS operations tooling, ancillary storage/compute, and data center networking/WAN).
Guide customers and hosting partners through technical qualification, pod layout design, system turn-up, and operational readiness—covering slice lifecycle management, OS and firmware upgrades, telemetry integration, and hardware maintenance workflows.
Conduct workload performance profiling, workload migration, and optimization of large-scale training and inference models and data pipelines specifically for Google Cloud TPU hardware topologies (e.g., 3D Torus over Inter-Chip Interconnect and Optical Circuit Switches).