Scale AI
Engineering Manager, Frontier AI Infrastructure - Public Sector
$214K–$267K
Washington, DC +1 · Manager · Full-time · Posted Sep 9, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- At least 1–2+ years of direct people management experience; no other duration specified.
- Visa sponsorship
- Акտիվ Secret clearance is required, with ability and willingness to up-level to TS/SCI with CI Poly.
About the job
Leads a small engineering team while remaining hands-on building and operating the model inference infrastructure for public-sector AI customers.
What you'll do
- Lead, coach, hire, and develop engineers; set technical direction and delivery priorities.
- Design, implement, debug, and maintain secure, scalable inference and backend systems; review code and resolve production issues.
- Coordinate operational practices and partner with Product, customers, vendors, and government stakeholders on requirements, escalations, and delivery.
What they ask for
- At least 1–2+ years of direct people management experience, including hiring, performance management, and career development, plus a strong hands-on individual-contributor track record.
- Active Secret clearance and ability and willingness to obtain TS/SCI with CI Poly.
- Willingness to remain hands-on in the code.
- Able to support work 3–4 days a week from the DC office.
Nice to have
- Experience delivering software to air-gapped or isolated environments.
- Experience with cloud-native technologies and federal security or compliance frameworks.
Pay
$213,600–$267,000 USD base salary
Tools
Docker, Kubernetes, AWS, Azure, GCP
AI focus
Leads the model inference layer, enabling state-of-the-art models and operating AI infrastructure, including model tooling, networking, latency, and usage and pricing metrics.
Model-written summary · the original posting is authoritative