Customer Solutions Engineer, Compute, Google Cloud at Google

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

Job summary

Google is hiring a Customer Solutions Engineer for Compute, Google Cloud in Singapore. This full-time, on-site role requires working in shifts and may include weekends.

The engineer will own complex customer issues, provide specialized support across teams, and help customers deploy AI/ML workloads on AI infrastructure products. Responsibilities include diagnosing issues, understanding AI workloads, advising internal stakeholders, and collaborating with multiple product/engineering teams to

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience reading/debugging code in languages such as Java, C, C++, Python, Go or JavaScript.
• Experience in Linux/Unix system administration and debugging issues across enterprise-grade server infra.
• Experience troubleshooting and triaging technical issues across the stack including hardware, software, networking, virtualization, and kernel drivers.

Responsibilities

• Diagnose and resolve AI/ML infrastructure issues for customers.
• Develop deep understanding of AI/ML workloads and underlying hardware architectures; build faster diagnosis tools.
• Serve as a consultant to internal engineering, sales, and customer teams to resolve deployment obstacles.
• Collaborate with product and engineering teams and site reliability engineering to improve production systems.
• Participate in rotating on-call schedules including nights, weekends and holidays.

Skills

Code debugging

Linux/Unix administration

Troubleshooting

AI infrastructure understanding

Kubernetes

AI hardware experience

ML frameworks (TensorFlow/PyTorch)

Distributed systems

Education

Bachelor's degree in STEM or equivalent

Tools

Kubernetes

Slurm

Linux tooling

Job description

Customer Solutions Engineer, Compute, Google Cloud at Google in Singapore, SG. This Full time on site position offers great opportunities for career growth. 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.

Minimum qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• Experience reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
• 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.