G

Google

Runs Search and YouTube and builds Gemini AI

Customer Solutions Engineer - Compute, Google Cloud

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeWarsaw, Poland

About the Job

Requirements

  • A bachelor’s degree in Science, Technology, Engineering, or Mathematics, or equivalent practical experience.
  • Experience writing and reading or debugging code in a general-purpose programming language such as Java, C, C++, Python, Shell, Go, or JavaScript, and experience with virtualization and orchestration frameworks.
  • Experience as a system administrator with Linux/Unix systems and 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, including hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, and performance.

Responsibilities

  • Provide domain expertise in cloud platforms and infrastructure, solving complex cloud platform challenges.
  • Work with customers to design and implement cloud-based technical architectures, migration approaches, and application optimizations that enable business objectives.
  • Act as a technical advisor and troubleshoot technical challenges for customers.
  • Create and deliver best-practice recommendations, tutorials, blog articles, and sample code.
  • Travel up to 30% within the region for meetings, technical reviews, and onsite delivery activities.
  • Provide technical guidance to customers adopting Google Cloud Platform services, including best practices for secure foundational cloud implementations, automated provisioning of infrastructure and applications, and cloud-ready application architectures.
  • Provide prescriptive guidance to help customers migrate, build, modernize, and maintain applications in Google Cloud Platform.
  • Work closely with Product Management and Product Engineering to improve Google Cloud products and features.

Desired Qualifications

  • Experience working with distributed systems and familiarity with common solutions, design patterns, or best practices.
  • Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
  • Familiarity with containerization and orchestration technologies such as Kubernetes or Slurm in an on-premises or cloud environment.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of the AI/ML training and inference lifecycle.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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