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Offer summary
(Summary generated by AI based on the full job description)
The project involves Google Cloud and AI/ML, focusing on the Vector Search Serving infrastructure to handle massive datasets with low latency. Key requirements include 8 years of software development and 5 years in distributed systems. Responsibilities cover owning system architecture, code reviews, incident management, and ensuring service reliability. Compensation ranges from 480 000 to 492 000 PLN plus bonuses, equity, and benefits like medical care and educational support.
from: 23 June 2026
to: 23 July 2026
40 000 - 41 000 złgross/ mth.contract of employment (full-time)
Salary details
Poland: zł480000 - zł492000 (PLN) + 20% bonus target + equity + benefits
Offer parameters
level:senior
working mode:hybrid
Warszawa, Śródmieście
Requirements
Operating system
Windows
Our requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Optional
- Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization including technical leadership role leading project teams and setting technical direction.
- 3 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Your responsibilities
- Own the technical goal and architecture of the Vector Search Serving infrastructure and drive decisions that ensure the system can manage massive datasets and query volumes with low latency.
- Contribute to critical code paths, conduct high-quality code reviews, and author technical design documents to maintain a technical presence.
- Advocate for reliability and service health by overseeing incident management processes, ensuring that customer issues are resolved effectively and that post-mortems lead to systemic improvements.
- Act as the bridge between technology and users by understanding customer use cases and ensuring the infrastructure evolves to meet their changing needs.
About the project
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise 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
Staff Software Engineer, Vector Search, Vertex AI
40k–41k zł / mth. (CoE)
I apply to:
Google
Warszawa, Śródmieście
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