Engineering Manager, Foundation Model Inference

United States Digital Space LLC

Mountain View (CA)

On-site

USD 190,000 - 261,250

Full time

14 days+

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Job summary

United States Digital Space LLC in Mountain View, CA is seeking an Engineering Manager for the Foundation Model Inference (FMAPI) team. You will lead a group of infrastructure engineers focused on large‑scale inference workloads, partner with product leadership, and drive multi‑quarter initiatives with quality and reliability.

This role requires proven leadership of software teams, strong judgment in distributed systems, and a track record of shipping complex projects.

Qualifications

  • Experience managing and growing high‑performing software engineering teams.
  • Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large‑scale backend services.
  • Track record of delivering complex, multi‑quarter engineering initiatives with high quality and predictable execution.
  • Experience partnering with product management to translate customer needs into roadmaps and shipped outcomes.

Responsibilities

  • Lead and grow a team of infrastructure engineers within Foundation Model Inference (FMAPI).
  • Shape the roadmap for real‑time and batch inference capabilities.
  • Partner with product and engineering leadership to ensure reliability and service health.
  • Uphold architectural and operational excellence while developing top talent.

Skills

Leadership
Distributed systems
AI/ML infrastructure
Roadmapping & execution

Education

BS in CS

Job description

United States Digital Space LLC in Mountain View, CA is seeking an Engineering Manager for the Foundation Model Inference (FMAPI) team. You will lead a group of infrastructure engineers focused on large‑scale inference workloads, partner with product leadership, and drive multi‑quarter initiatives with quality and reliability.

This role requires proven leadership of software teams, strong judgment in distributed systems, and a track record of shipping complex projects.

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