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Open nowFirst seen 8 hours ago

Software Engineer, Systems

Meta1,219 open roles

Where
Menlo Park, CA; New York, NY
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Your applicationOpen nowSoftware Engineer, SystemsMeta · Menlo Park, CA; New York, NY

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 8 hours ago

Meta median: 35 days open

The posting

Meta is seeking a Software Engineer specializing in systems software to drive technical direction across large-scale infrastructure and platform engineering. The team responsible for the foundational runtime that powers containers and virtual machines across Meta’s compute fleet. This team builds the host-level systems that launch, manage, isolate, monitor, and terminate workloads. Its software coordinates workload artifacts and compute resources while enforcing performance, reliability, security, and resource-isolation boundaries. The runtime sits at a critical layer between applications and the underlying host infrastructure.

Responsibilities

  • Define and drive the long-term technical vision and architecture for large-scale systems software, including platform services, runtime environments, and low-level infrastructure components
  • Architect systems-level solutions that address performance, reliability, and scalability requirements across distributed infrastructure serving billions of users
  • You will work on technically challenging systems at global scale, spanning Linux systems programming, container and virtual machine lifecycle management, resource control, workload isolation, performance, and fleet reliability
  • The broader platform provides a common foundation for deploying and operating services across Meta’s infrastructure

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in systems software engineering, including design and implementation of operating system interfaces, runtime environments, distributed infrastructure, or low-level platform services
  • Set and drive the technical direction for container runtime and isolation stack
  • Improve fleet-wide efficiency and reliability of container-based workloads: resource enforcement, noisy-neighbor isolation, and density at millions-of-servers scale
  • Extend runtime and isolation primitives to support AI training and inference workloads (accelerator isolation, large-memory and high-bandwidth jobs, gang-scheduled work)
  • Partner with kernel, scheduler, capacity, and hardware teams on hardware-software co-design and multi-generational fleet transitions
  • Mentor engineers, drive cross team design review, and represent teams container strategy within the Org

Preferred Qualifications

  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience leading large-scale platform migrations or systems modernization efforts in high-availability production environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with operating system internals such as scheduler design, memory subsystems, or kernel-userspace interfaces
  • Experience with distributed systems consensus protocols such as Raft or Paxos, or building highly available and fault-tolerant infrastructure

US: $183,997/year to $257,000/year + bonus + equity

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