Software Engineer, Frontier AI Infrastructure

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About this role

Software Engineer, Frontier AI Infrastructure San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: - Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. - Own services or systems and define their long-term health goals, while also improving the health of surrounding components - Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. - You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future

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