Engineering Manager, Inference Infrastructure

Added
18 days ago
Type
Full time
Salary
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Related skills

kubernetes distributed systems scheduling autoscaling ml infrastructure

πŸ“‹ Description

  • Own the technical roadmap for how the inference fleet is coordinated β€” where traffic goes, where
  • Partner with the product, inference engine, performance, and capacity teams to identify throughput
  • Build the group's habit of quantitative modeling: claim a win only when you can measure it, and
  • Set technical strategy for how the control plane evolves across heterogeneous hardware, across
  • Run the group's operational backbone β€” on-call rotations, incident response, postmortem review
  • Create clarity at a seam: this group sits between the API surface, the inference engines, capacity

🎯 Requirements

  • Engineering management experience leading teams on critical-path production infrastructure at scale
  • A deep systems background β€” load balancing, scheduling, cluster orchestration, autoscaling
  • Experience shipping performance or efficiency improvements in large-scale systems, and the ability
  • Experience running production infrastructure with real operational stakes: on-call, incident
  • A results-oriented, impact-driven approach, and comfort working in a space where throughput
  • Ability to build strong relationships across team boundaries β€” this is a seam role, and much of the

🎁 Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space in which to collaborate with colleagues

πŸ›ƒ Visa sponsorship

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