> Markdown version of [/jobs/ext/3895373-software-engineer-systems](https://www.wearedevelopers.com/jobs/ext/3895373-software-engineer-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Systems - **Company:** Facebook Inc. - **Location:** Menlo Park, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Linux, Distributed Systems, Fault Tolerance, Software Engineering, Subsystems, Virtual Machines, Prompt Engineering, Information Technology - **Published:** October 23, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28129692/Software-Engineer-Systems-California-Menlo-Park-7418 ## About the Role * 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 ## Description 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