Drimva

Meta

Software Engineer, Systems

$184K–$257K

Menlo Park, CA +1 · Full-time · Posted Sep 28, 2026

Location
Menlo Park, CA
New York, NY
Experience
8+ years of systems software engineering experience.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Leads technical direction and develops container-runtime and isolation systems that manage workloads across Meta’s large-scale compute fleet, including AI training and inference workloads.

What you'll do

  • Set technical vision and architecture for runtime, container, and isolation systems; improve fleet-wide workload efficiency and reliability.
  • Extend runtime and isolation capabilities for AI workloads and partner with kernel, scheduler, capacity, and hardware teams on fleet transitions.
  • Lead design reviews and platform modernization, mentor engineers, and promote responsible, ethical AI practices.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 8+ years of systems software engineering experience, including operating system interfaces, runtime environments, distributed infrastructure, or low-level platform services.
  • Experience leading large-scale platform migrations or modernization in high-availability production environments.
  • Experience with operating system internals and distributed systems consensus protocols, or highly available and fault-tolerant infrastructure.

Nice to have

  • Demonstrated ability to integrate AI tools to improve workflows and deliver measurable impact.
  • Ongoing AI skill development, such as prompt/context engineering or agent orchestration.

Pay

$183,997/year to $257,000/year (base salary)

Tools

Linux, containers, virtual machines, AI training, inference, Raft, Paxos

AI focus

Extend runtime and isolation primitives for AI training and inference workloads, including accelerator isolation, large-memory and high-bandwidth jobs, and gang-scheduled work. The role also involves integrating AI tools into workflows and applying responsible, ethical AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 4, 2026 (UTC)