Staff Software Engineer, Vector Search, Vertex AI

Requirements:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Nice to Haves:

• Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization including technical leadership role leading project teams and setting technical direction.
• 3 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

What You'll be Doing:

• Own the technical goal and architecture of the Vector Search Serving infrastructure and drive decisions that ensure the system can manage massive datasets and query volumes with low latency.
• Contribute to critical code paths, conduct high-quality code reviews, and author technical design documents to maintain a technical presence.
• Advocate for reliability and service health by overseeing incident management processes, ensuring that customer issues are resolved effectively and that post-mortems lead to systemic improvements.
• Act as the bridge between technology and users by understanding customer use cases and ensuring the infrastructure evolves to meet their changing needs.

Perks and Benefits:

• Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent.
• AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions.
• Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action.
• In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.