Senior Staff Software Engineer, AI Developer Tools, Cloud Gemini Enterprise

• Design the end-to-end AI developer platform and establish technical roadmaps that maximize modularity across tools, autonomous agents, and Cloud infrastructure.
• Advocate for industry-leading agent communication standards (e.g., MCP, LSP) and establish robust isolation primitives for executing untrusted third-party code.
• Set exceptional performance and latency standards, leading architecture design reviews to proactively eliminate systemic risks and technical debt.
• Serve as a senior technical mentor, cultivating a culture of deep technical aptitude and proactive knowledge sharing across Google Cloud.
• Partner with Principal and Distinguished Engineers across Vertex AI, DeepMind, and Cloud Security to align cross-organizational initiatives.

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 optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 5 years of experience with design and architecture; and testing/launching software products.
  
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/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, matrixed organization involving cross-functional, or cross-business projects.
• Experience designing developer toolchains and orchestrating production-scale AI agents.
• Experience architecting in VM/container sandboxing, high-throughput networking, and enterprise compliance.

• 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 optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 5 years of experience with design and architecture; and testing/launching software products.
  
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).