Customer Solutions Engineer, Compute - Singapore

Google; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading cloud technology company in Singapore is seeking an experienced candidate to join their Customer Solutions Engineering team. The role involves troubleshooting technical problems, managing customer issues related to AI/ML infrastructure, and working closely with product and engineering teams to enhance service quality. Candidates should have at least 6 years of coding experience in relevant programming languages and a Bachelor's degree in a related field. A commitment to customer advocacy and ability to work on an on-call rotation is essential.

Qualifications

• 6 years of experience writing code in one or more programming languages.
• Experience with AI/ML computing hardware including GPUs.
• Ability to participate in on-call rotation including non-standard hours.

Responsibilities

• Manage customer problems with effective diagnosis and resolution.
• Develop understanding of AI/ML workloads and underlying hardware.
• Consult for internal stakeholders to resolve complex deployment issues.
• Work with product and engineering teams to improve the product.
• Participate in rotating on-call schedules for customer-impacting issues.

Skills

Coding in general purpose languages (C++, Java, Python, Go)

Troubleshooting technical problems

Understanding AI/ML workloads

Experience with distributed systems

Customer advocacy

Education

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

Tools

Kubernetes

TensorFlow

Pytorch

Job description

Product area

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.

Job description

In this role, you will be a part of a global team that provides support to help customers seamlessly make the switch to Google Cloud. When customers cannot resolve issues themselves, your job is to ensure that we have the necessary tools and processes to resolve the issue. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make the products easier to adopt and to use by making improvements to the product, tools, processes, and documentation. The Customer Solutions Engineering team is focused on customer needs, and you will help drive the success and business growth of Google Cloud by understanding and advocating for our customers issues and tests.

Application Instructions:

This role requires you to work in a shift pattern or non‑standard work hours as required. This may include weekend work.

Qualifications

Job 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.
• Be 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

Minimum qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 6 years of experience writing code in one or more general purpose programming languages (e.g., C++, Java, Python, Go, etc.).

Preferred qualifications

• Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
• Experience working with large‑scale distributed systems, and with common solutions, design patterns, or best practices.
• Experience with containerization and orchestration technologies like Kubernetes or Slurm in an on‑prem or cloud environment.
• Experience with ML frameworks (e.g., TensorFlow, Pytorch).
• 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, and performance).
• Ability to participate in an on‑call rotation, including non‑standard working hours, nights shifts, weekends and holidays.