Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Poland: zł640000 - zł655000 (PLN) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Architect, develop, and maintain horizontally scalable APIs and backend infrastructure tailored specifically for Generative AI workloads.
Optimize the routing, load balancing, quota management, and data plane mechanisms that connect user API requests to backend ML serving clusters across massive fleets of TPUs and GPUs.
Prototype and launch new API products rapidly in a highly collaborative environment, to expose the latest advancements in Google's foundation models.
Collaborate closely with ML researchers, ML serving teams, and product managers to translate complex AI capabilities into intuitive, highly reliable enterprise-grade APIs.
Define and implement best practices for API security, high availability, fault tolerance, and comprehensive observability across distributed systems.
Minimum qualifications
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 (e.g., model deployment, model evaluation, data processing, debugging, 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 a complex, matrix organisations involving cross-functional, cross-timezone or cross-business projects.
Experience in serving Generative AI models using inference frameworks or hardware accelerators (e.g., GPUs, TPUs).
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 (e.g., model deployment, model evaluation, data processing, debugging, 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.
