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Senior Staff Software Engineer, AI Developer Tools, Cloud Gemini Enterprise
Google
Sunnyvale, USA
Senior · 8+ years experience
USD 262000-364000 / year
Discovered 2 weeks ago
gcpvertex-ai
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Responsibilities
- 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.
- - 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).
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