Job Information
Google Senior Software Engineer, Vertex AI First-Party in Warsaw, Poland
Senior Software Engineer, Vertex AI First-Party
corporatefare_ Google place Warsaw, Poland
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Minimum qualifications:
Bachelor's degree in Computer Science or equivalent practical experience.
5 years of experience building and developing large-scale infrastructure or distributed systems.
Preferred qualifications:
Experience programming in C, C++, Java, or Python.
Experience building or optimizing inference systems for Large Language Models (LLMs) or multimodal models (audio/video).
Experience implementing trust and safety features, abuse detection classifiers, or data residency controls.
Experience designing unified APIs or middleware that abstracts complexity for other developers.
Track record of debugging production issues in high-throughput, low-latency environments.
About the job
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.
Responsibilities
Design, develop, and deploy software infrastructure to unify and serve large language and multimodal models across cloud environments.
Implement responsible AI, engineering real-time safety filters, abuse detection mechanisms, and compliance controls directly into the serving stack to ensure secure and ethical AI usage.
Drive improvements in system latency, efficiency, and stability. Identify bottlenecks and resolve production issues.
Collaborate closely with research scientists and global engineering teams to transform model breakthroughs into enterprise-ready products.
Write high-quality, testable, and maintainable code while contributing to technical design reviews and engineering best practices.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.