3 days ago
Base Salary
$184k - $257k/yr
Responsibilities
- Define and drive the technical vision and architecture for large-scale systems software, runtime environments, platform services, and low-level infrastructure.
- Design systems-level solutions for performance, reliability, scalability, and distributed infrastructure at global scale.
- Develop Linux systems and container and virtual machine lifecycle management capabilities.
- Improve resource enforcement, noisy-neighbor isolation, workload density, fleet efficiency, and reliability across millions of servers.
- Extend runtime and isolation primitives for AI training and inference workloads, including accelerator isolation, large-memory jobs, high-bandwidth jobs, and gang-scheduled work.
- Partner with kernel, scheduler, capacity, and hardware teams on hardware-software co-design and multi-generational fleet transitions.
- Mentor engineers, lead cross-team design reviews, and represent the organization’s container strategy.
- Drive large-scale platform migrations and systems modernization efforts in high-availability production environments.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 8+ years of experience in systems software engineering, including operating system interfaces, runtime environments, distributed infrastructure, or low-level platform services.
- Experience setting and driving technical direction for container runtime and isolation systems.
- 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 with highly available and fault-tolerant infrastructure.
- Experience leading large-scale platform migrations or systems modernization in high-availability production environments.
- Preferred experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
- Preferred experience using AI tools to optimize or redesign workflows and drive measurable impact.
- Preferred ongoing AI skill development, including prompt/context engineering and agent orchestration.
- Ability to mentor engineers, lead design reviews, and collaborate across kernel, scheduler, capacity, and hardware teams.
Benefits
- Annual base salary of $183,997/year to $257,000/year, plus bonus, equity, and benefits.
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.