Software Engineer, Frontier Ai Infrastructure

Scaleai

San Francisco, CA, US
San francisco, new york, seattle: $184,000—$259,44...
On-site
Model inference layer ownership
Debugging ai tools and latency
Networking and usage metrics
Own the model inference layer, enabling state-of-the-art models, debugging AI tools, managing networking, and tracking metrics for AI models

Job Summary

  • Own the model inference layer, enabling state-of-the-art models, debugging AI tools, managing networking, and tracking metrics for AI models.
  • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
  • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

Matching Summary

Own the model inference layer, enabling state-of-the-art models, debugging AI tools, managing networking, and tracking metrics for AI models.

Salary

San Francisco, New York, Seattle: $184,000—$259,440 USD; Hawaii, Washington DC, Texas, Colorado: $165,600—$233,496 USD; St. Louis: $138,000—$194,580 USD; Equity and benefits included

Skills & Requirements

Must-have

  • Model inference layer ownership
  • Debugging AI tools and latency
  • Networking and usage metrics
  • Secure scalable backend systems
  • Cloud-native AI infrastructure

Nice-to-have

  • Federal compliance frameworks
  • Air-gapped environments experience
  • Adaptability and learning agility
  • Critical thinking and problem-solving
  • Collaboration and communication skills

Key Requirements

  • Active Secret clearance
  • Ability to up-level to TS/SCI with CI Poly
  • Full Stack Development experience
  • Cloud-Native Technologies (Docker, Kubernetes)
  • Federal Compliance frameworks experience

Work Rights

Must have active Secret clearance and ability to up-level to TS/SCI with CI Poly

Tailored Resume

Cover Letter