Software Engineer, Early Careers, PhD, Cloud AI

Miejsce pracy: Warszawa

Technologies we use

Expected

C
C++
Python
Java
JavaScript

Optional

Go
Kubernetes

Operating system

Linux

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.

As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Your responsibilities

Work on implementation and designs of Search features (e.g., support for structured search, standalone grounding API, reranking of search results based on user's interactions with previous results, filtering out search results based on ACLs, integration with third-party data sources).
Work on Kubernetes-based infrastructure configuration, to ensure scalability and performance goals are met.
Contribute to launch of Search and to work on future post-GA roadmap items.
Contribute to solving novel engineering challenges requiring use of advanced GenAI capabilities.

Our requirements

PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g. open-source coding).

Optional

Experience developing and deploying distributed systems software.
Experience developing in C++, Go.
Knowledge of Python or Java.
Familiarity with Kubernetes development (e.g., Kubernetes Controllers, CRDs).
Familiarity with Machine Learning and Large Language Model (LLM) concepts.
Familiarity with Cloud platforms.

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

Software Engineer, Early Careers, PhD, Cloud AI

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