Customer Solutions Engineer, Compute, Google Cloud

Apigee; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google Cloud seeks a Customer Solutions Engineer to own complex AI infrastructure issues and provide 24x7 support for AI/ML workloads. You will diagnose hardware/software problems, triage across the stack, and help improve internal tools and documentation.

The role emphasizes collaboration with engineering, SRE, and product teams to resolve deployment challenges. The position requires experience with Linux/Unix, AI hardware, ML frameworks, and on-prem or cloud environments; some on-call, shift,

Qualifications

• Bachelor's degree or equivalent practical experience in STEM fields.

Responsibilities

• Manage customer problems through diagnosis, resolution, or implementation of new investigation tools.
• Develop understanding of AI/ML workloads and hardware architectures by troubleshooting and building faster diagnosis tools.
• Act as consultant and SME for internal stakeholders to resolve deployment/operational obstacles in AI infrastructure environments.
• Collaborate with Product/Engineering teams to improve product and interact with SRE for production quality.
• Participate in rotating on-call schedules including nights, weekends and holidays.

Education

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience

Linux/Unix system administration

Troubleshooting across hardware/software stack

AI/ML hardware experience ( GPUs/accelerators )

ML frameworks (TensorFlow, PyTorch)

Distributed systems

Containerization/orchestration (Kubernetes, Slurm)

Tools

Kubernetes

Slurm

Job description

Customer Solutions Engineer, Compute, Google Cloud

X 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).
• 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 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

• 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.

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.