Customer Engineer, High Performance Computing, Google Cloud

Google LLC; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Google Cloud is seeking a Customer Engineer for High Performance Computing in Singapore. You will lead pre-sales efforts, architect HPC solutions, and drive end-to-end deployment of TPU-based workloads across APAC.

The role emphasizes collaboration with customers, partners, and Google's product teams to deliver scalable, efficient AI/ML infrastructure. You will translate customer needs into practical cloud architectures, perform workload profiling, and optimize performance on AI accelerator

Qualifications

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

Responsibilities

• Drive pre-sales technical strategy and land large-scale Google Cloud TPU deployments across APAC.
• Serve as a trusted technical advisor on architecture and integration strategies across TPU software stack and customer environments.
• Guide customers through design, turn-up, and operational readiness including telemetry and maintenance workflows.
• Conduct workload profiling, migration, and optimization for training/inference on TPU hardware topologies.

Skills

HPC architecture

Cloud infrastructure

Pre-sales

Linux

Distributed AI/ML workloads

Education

Bachelor's degree or equivalent practical experience

Tools

Kubernetes

Slurm

Job description

Customer Engineer, High Performance Computing, Google Cloud

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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud-native or high-performance computing (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).

Preferred qualifications:

• Experience integrating large-scale accelerator clusters with customer and data center partner software stacks, including fleet management APIs, IaaS operations tools, out-of-band hardware management (BMC/Redfish), and Prometheus telemetry pipelines.
• Experience designing, turning up, and operating large-scale AI/HPC infrastructure farms, including data center space, power, liquid cooling (CDU), Optical Circuit Switches (OCS), Top-of-Rack (ToR) networking, and hardware RMA/repair playbooks.
• Experience with lower-level performance profiling and kernel optimization tools (e.g., XProf, PyTorch Profiler, Pallas, or MaxText) to diagnose and resolve distributed training and inference bottlenecks.
• Ability to communicate in Mandarin fluently to support client relationship management in this region.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Specialist Customer Engineers seek to accelerate Google Cloud customer success by providing domain-specific technical expertise, while responsibly influencing products and solutions.

In this role. you will partner with technical Sales teams as a subject matter expert in High Performance Computing (HPC) to differentiate Google Cloud to the customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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).

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.