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Google: Software Engineer III, NodeOS (Warszawa)

Oferta archiwalna

Software Engineer III, NodeOS

Bezpośrednia
  • Google
  • Warszawa
  • 15.08.2025

Podsumowanie oferty:

  • Branża

    AI / Uczenie maszynowe / Data Science
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    Java, Go, Python, C/C++, Unix/Linux, Concurrency, Distributed Systems, Linux Kernel

Opis oferty:

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. You will help invent the future of Google's compute infrastructure by bringing resource usage down by nearly an order of magnitude and innovating how the OS can be replaced entirely without rebooting the machine.

Wymagania:

  • Bachelor’s degree or equivalent practical experience
  • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture
  • Experience working with one or more of the following: C/C++, Java, Go, Python, Unix/Linux systems

Dodatki i korzyści:

  • Develop foundational NodeOS (Google internal Linux-based OS) capabilities, including engineering into open-source aspects, Google-specific system services
  • Design, implement, automate rollouts and troubleshoot large-scale computer systems
  • Redesign and refactor existing systems to improve performance and parallelism
  • Improve existing and create new integration and canary tests, monitoring and metrics
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