Software Engineer, Systems

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.

Software Engineer, Systems 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

• 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

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.