$230K – $342K/yr
● Strong current hiring demand for this role
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Pay vs market · Bottom quarter
This job's pay ($221,720 a year at the midpoint) is higher than about 25% of 354 salary-listed Software Engineer jobs in San Francisco in the last 12 months; their median is $288,350.
Role overview
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
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Role market pulse
Live jobs
1,574
Posted 30d
616
30d movement
+34.8%
Remote share
29%
Salary listed
78%
Salary trend 1Y
Not enough history
What they are looking for
Department · Public Sector Engineering
Hiring company
Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
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