Customer Solutions Engineer, Compute, Google Cloud

Google LLC; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Google Cloud seeks a Customer Solutions Engineer for Compute AI infrastructure in Singapore. You will own complex customer issues, provide specialized support, and work with cross-functional teams to resolve challenges in AI deployments.

This role requires Linux/Unix administration, debugging across hardware and software, and a willingness to work non-standard hours including weekends. Fluency in English is required for global collaboration.

Qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• Experience in system administration with Linux/Unix and debugging enterprise-grade server infrastructure.
• Experience triaging technical issues across the stack and advocating for customer needs.

Responsibilities

• Manage complex customer issues through diagnosis and resolution.
• Develop an in-depth understanding of AI/ML workloads and hardware architectures.
• Act as a consultant for internal engineering, sales, and customer teams to resolve deployment obstacles.
• Collaborate with Product and Engineering teams to improve the product and internal tools.
• Participate in rotating on-call schedules including nights, weekends, and holidays.

Skills

Linux/Unix systems

Debugging issues

Troubleshooting

Customer support

Coding/Scripting

SLA-driven communication

Education

Bachelor's degree in Science/Technology/Engineering/Mathematics

Tools

Kubernetes

Slurm

TensorFlow

PyTorch

Job description

Customer Solutions Engineer, Compute, Google Cloud

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work. 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 in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• Experience in system administrator with Linux/Unix systems and debugging issues across the hardware/software on enterprise-grade server infrastructure.
• Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, performance).

Preferred qualifications:

• Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle.
• Experience working with large-scale distributed systems, and familiarity with common solutions, design patterns, or best practices.
• Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.

About the job

Our Customer Solutions Engineers for AI Infrastructure own complex customer issues and provide specialized support to other teams. In this role, you will be a part of a global team that provides 24x7 support to ensure customers can seamlessly deploy their AI and ML workloads on AI Infrastructure products. When customers encounter deep technical issues, you will ensure we have the expertise, tools, and processes to resolve the issue. You will troubleshoot technical problems with a mix of hardware and software debugging, networking, Linux system administration, coding/scripting, and updating documentation. You will help our customer’s success in the AI/ML space by making improvements to the product, internal tools, processes, and documentation. You'll help drive business growth by recognizing and advocating for our customers challenges related to AI deployments.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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

• Manage customer’s problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
• Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, and build tools for faster diagnosis.
• Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
• Work closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.