Frontier AI Infra Engineering Manager - Hands-on Leader

Scale AI; Washington (District of Columbia); Presencial; USD 214 000 - 267 000; Tempo integral

Resumo da oferta

Scale AI’s Public Sector team in Washington, DC seeks an Engineering Manager to lead the Frontier AI Infrastructure group. This 50/50 role balances hands-on coding with people leadership, guiding a small team responsible for the model inference layer, latency debugging, and cloud-native backend systems for government contracts.

You’ll hire and mentor engineers, set quarterly priorities, and collaborate with Product and Deployed Engineering to translate customer needs into a roadmap.

Qualificações

• At least 1-2+ years of direct people management experience leading software engineers.
• Active Secret clearance with willingness to upgrade to TS/SCI with CI Poly.

Responsabilidades

• Lead, coach, and grow a team of engineers, including hiring, onboarding, performance, and career development.
• Set technical direction and quarterly priorities for the inference layer and ensure delivery on customer/contract commitments.
• Run sprint planning, on-call rotation, incident review, and postmortems.
• Translate customer/mission requirements into roadmap with cross-functional partners.
• Represent the team in customer engagements and vendor escalations, including with government stakeholders.
• Design and implement secure, scalable backend systems for Public Sector customers using Scale's cloud-native AI infra.
• Own services and systems with long-term health goals and improve surrounding components.
• Stay hands-on: review PRs, debug production issues, and contribute technically.

Conhecimentos

People mgmt

Hands-on coding

Strong communication

Security clearance

TS/SCI CI Poly

Cloud-native

Kubernetes

Docker

Team leadership

Ferramentas

Docker

Kubernetes

Descrição da oferta de emprego

Scale AI’s Public Sector team in Washington, DC seeks an Engineering Manager to lead the Frontier AI Infrastructure group. This 50/50 role balances hands-on coding with people leadership, guiding a small team responsible for the model inference layer, latency debugging, and cloud-native backend systems for government contracts.

You’ll hire and mentor engineers, set quarterly priorities, and collaborate with Product and Deployed Engineering to translate customer needs into a roadmap.