Customer Solutions Engineer, Compute, Google Cloud

Google Inc.; Dublin; On-site; EUR 60,000 - 80,000; Full time

Job summary

A leading global tech company in Dublin seeks a Customer Solutions Engineer to support AI and ML infrastructure. The role involves troubleshooting complex issues, collaborating with customers and engineering teams, and improving product quality. Candidates should have a strong background in Linux systems, AI/ML hardware, and excellent communication skills. This fulltime position offers significant growth opportunities in a dynamic environment.

Qualifications

• Experience debugging issues across hardware/software boundaries.
• Ability to manage customer problems effectively.
• Experience with large-scale distributed systems.

Responsibilities

• Manage customer problems through effective diagnosis and resolution.
• Act as a consultant for internal stakeholders.
• Provide 24x7 support for AI/ML workloads.

Skills

Linux/Unix systems

Troubleshooting

Communication skills

AI/ML computing hardware

Education

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

Tools

TensorFlow

Pytorch

Kubernetes

Slurm

Job description

Customer Solutions Engineer, Compute, Google Cloud

Google Dublin, Ireland ; Warsaw, Poland

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Dublin, Ireland; Warsaw, Poland.

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• System administrator level experience with Linux/Unix systems.
• Experience debugging issues across the hardware/software boundary 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.
• Excellent troubleshooting, attention to detail, and communication skills.

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem‑solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross‑functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As a Technical Solutions Engineer, you will be a trusted advisor to a diverse range of customers. You'll look into complex technical challenges, troubleshoot critical issues across the Google Cloud platform, and provide solutions that help customers innovate with confidence. In this role, you will act as the voice of the customer, collaborating with engineering and product teams to drive improvement in our products and services.

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, your job is to 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.

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, determining the root cause for customer reported issues, and building 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.
• Be available for non‑standard work hours or shifts which may include weekends as needed.

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.

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