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