Google

Senior Staff Software Engineer, AI Agent Platform, Vertex

Brak informacji o wynagrodzeniu

SeniorOn-site·WarszawaFull-time

#471610·Dodano 13 dni temu·4

Źródło: Google

Aplikuj teraz

Tech Stack / Keywords

Generative AIVertex AIAPIsML infrastructureML servingTPUsGPUsdistributed systemsmodel deploymentmodel evaluation

Podsumowanie oferty

Build high-performance, scalable backend infrastructure and APIs for the Cloud AI Agent Platform (previously Vertex), serving Generative AI models such as Gemini. The work includes the API layer and infrastructure powering Vertex AI APIs and enabling AI-driven applications.

Wymagania

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and working with ML infrastructure, including model deployment, model evaluation, data processing, debugging, and fine-tuning.
5 years of experience in systems architecture and large-scale serving infrastructure.
Experience delivering technical solutions in a changing environment.
Experience working in multinational or internationalised (i18n) organisations on global initiatives.

Preferred qualifications:

Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in complex, matrix organisations involving cross-functional, cross-timezone, or cross-business projects.
Experience serving Generative AI models using inference frameworks or hardware accelerators such as GPUs and TPUs.

Obowiązki

Architect, develop, and maintain horizontally scalable APIs and backend infrastructure for Generative AI workloads.
Optimize routing, load balancing, quota management, and data plane mechanisms connecting user API requests to backend ML serving clusters across fleets of TPUs and GPUs.
Prototype and launch new API products to expose advancements in Google's foundation models.
Collaborate with ML researchers, ML serving teams, and product managers to translate AI capabilities into reliable enterprise-grade APIs.
Define and implement best practices for API security, high availability, fault tolerance, and observability across distributed systems.

Benefity

25% bonus target.
Equity.

Udziały pracownicze

Premie

Inne informacje

In most instances, the hiring process requires in-person interviews.

Google

55 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz