Senior Software Engineer, Vertex AI on GDC
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on developing cloud and AI technologies at Google, emphasizing Google Distributed Cloud and Google Kubernetes Engine (GKE). Responsibilities include coding primarily in Go-lang, optimizing translation models, and deploying solutions in containerized environments. Tasks involve triaging and debugging system issues and collaborating on large-scale AI innovations. The salary ranges from 364,000 to 374,000 PLN plus bonuses and equity, with benefits including medical care and training support.

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Senior Software Engineer, Vertex AI on GDC

Company: Google

from: 3 July 2026
to: 2 August 2026
30 333 - 31 167gross/ mth.contract of employment (full-time)
Salary details

Poland: zł364000 - zł374000 (PLN) + 15% bonus target + equity + benefits

Offer parameters
level:mid • senior
working mode:hybrid
Warszawa, Śródmieście
Warszawa, ŚródmieścieEmilii Plater 53View on map

Requirements

Expected technologies

C
Java
C++
Python
Objective-C
JavaScript
Go
Kubernetes

Our requirements

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go.
  • 5 years of experience in distributed cloud computing, including 3 years of experience in containerization and container orchestration technologies, such as Google Kubernetes Engine (GKE).
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Optional

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
  • Familiarity with Google Cloud Platform (GCP) services relevant to AI/ML infra, such as Vertex AI, Google Kubernetes Engine (GKE), Cloud Storage, BigQuery, etc.

Your responsibilities

  • Write code primarily in Go-lang.
  • Work with the GKE stack on the separate Google Distributed Cloud (GDC).
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Deploy Gemini into a containerd and Kubernetes environment. Optimize translation models, and find solutions to fit models into a limited number of GPUs.
Company

About the project

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. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • fruits
  • corporate products and services at discounted prices
  • integration events
  • dental care
  • corporate gym
  • corporate sports team
  • retirement pension plan
  • saving & investment scheme
  • corporate library
  • no dress code
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • meal passes
  • redeployment package
  • employee referral program
  • opportunity to obtain permits and licenses
  • charity initiatives
  • extra leave
Senior Software Engineer, Vertex AI on GDC
30.3k–31.2k zł / mth. (CoE)
I apply to:
Google
Warszawa, Śródmieście
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