[ engineering ]

Systems Engineer

Dedalus Labs
Location
Not specified
Work mode
On-site
Type
full time
Listed

Applications go directly to Dedalus Labs. Ramai takes no fee for placement and no money for ranking.

[ About this role ]

Systems Engineer at Dedalus Labs building the compute substrate for an agent-native economy. This role involves developing core compute and runtime primitives for AI agents, including virtualization, sandboxing, and isolation systems. The engineer will focus on low-level infrastructure, ensuring performance and reliability for long-running autonomous software.

Skills and focus areas

  • virtualization
  • distributed systems
  • storage
  • networking
  • scheduling
  • orchestration
  • low-level runtime infrastructure
  • latency
  • throughput
  • memory usage
  • correctness
  • tail performance

Summary written by Ramai from the original posting. Full details and requirements are on Dedalus Labs’s careers page.

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Connect any LLM to any MCP tools and create complex agents in minutes.

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