Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. The Vertex Agent Platform team delivers an enterprise-ready agent platform for real-world agentic use cases, along with state-of-the-art exemplar agents. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability.
Requirements
- 2 years of experience with software development in one or more programming languages (C, C++, Python, or Go), or 1 year of experience with an advanced degree.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- Experience with Generative AI Agent.
- Experience developing large-scale applications on Cloud Infrastructure
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Develop robust and scalable backend leveraging Google Cloud Infrastructure (One Platform APIs, Serverless Compute, docker, Spanner, Workflow Orchestration etc) to process workloads.
- Develop, implement, and test innovative solutions in the AI Agents.
- Collaborate with researchers and engineers to improve the Agent quality.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
- 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.
