Engineering Manager, Frontier AI Infrastructure - Public Sector
AI · 5 roles open in software and data
- Location: Washington, DC
- Pay: $213.6k–$267k
- Experience: 1+ yrs
- Posted: Posted
About the role
The team manages the inference layer for AI models, handling state-of-the-art model deployment, debugging, and performance tracking. The engineering manager leads and coaches a team of engineers, while also remaining hands-on with coding, debugging, and technical design for secure, scalable backend systems.
Our summary of the posting; the original is on the Scale AI careers page.
What the posting requires
- Required
- Security clearance
- Technical direction
- Translate requirements
- Secure backend systems
- Cloud-native
- Improve health
- Priorities
- Roadmap
- Scalable backend systems
- Preferred
- Full stack development
- Air-gapped environments
- Containerization
- Orchestration
- AWS
- Cloud-native development
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.
