Senior Customer Solutions Engineer, Compute

Google Inc.; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

A leading technology company is seeking a Senior Customer Solutions Engineer for their Cloud team in Warsaw, Poland. This role focuses on providing specialized support for AI/ML infrastructure, troubleshooting technical issues, and collaborating with cross-functional teams. The ideal candidate has a strong coding background, excellent communication skills, and a bachelor's degree in a relevant field. This position also requires flexibility in working hours.

Qualifications

• 6 years of experience with writing code in one or more general purpose programming languages.
• Experience in troubleshooting for customer needs and triaging technical issues.
• Experience with AI/ML computing hardware and frameworks.

Responsibilities

• Manage customer’s problems through diagnosis or implementation of new tools.
• Develop an understanding of AI/ML workloads and underlying hardware architectures.
• Act as a consultant for internal stakeholders to resolve operational obstacles.

Skills

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

Linux/Unix systems experience

Troubleshooting technical issues

Excellent communication skills

Education

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

Tools

Kubernetes

TensorFlow

Job description

Senior Customer Solutions Engineer, Compute

Location: Warsaw, Poland; Dublin, Ireland

Level: Mid

Apply

This role requires you to work in a shift pattern or non‑standard work hours as required, which may include weekend work. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Warsaw, Poland; Dublin, Ireland.

Qualifications

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 6 years of experience with writing code in one or more general purpose programming languages (e.g., C++, Java, Python, Go, etc.).
• Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise‑grade server infrastructure.
• Experience in troubleshooting for customer needs and triaging technical issues across the stack (e.g., hardware faults, networking, virtualization, kernel drivers, firmware, performance).

Preferred qualifications

• Experience working with distributed systems and knowledge of common solutions, design patterns, or best practices.
• Experience working with Artificial Intelligence/Machine Learning (AI/ML) computing hardware, including GPUs or other accelerators.
• Experience with containerization and orchestration technologies like Kubernetes or Slurm.
• Experience with ML frameworks (e.g., TensorFlow), and knowledge of the AI/ML training and inference lifecycle.
• Excellent troubleshooting and communication skills with attention to detail.

About the job

The Google Cloud team helps companies, schools, and governments 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.

In this role, you will own customer issues and provide specialized support to other teams. You will be a part of a global team that ensures customers can deploy their Artificial Intelligence (AI) and Machine Learning (ML) workloads on AI Infrastructure products. You will troubleshoot technical problems with hardware and software debugging, networking, Linux system administration, coding/scripting, and updating documentation. You will help the customer’s success in the AI/ML space by making improvements to the product, internal tools, processes, and documentation, and you will help drive business growth by advocating for the customers’ tests related to AI deployments.

Responsibilities

• Manage customer’s problems through diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
• Develop an understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for diagnosis.
• Act as a consultant and subject matter expert for internal stakeholders in Engineering, Business, and customer organizations to resolve deployment and operational obstacles in AI infrastructure environments.
• Work with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive production.

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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