Software Engineer - Storage (Technical Leadership)
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Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.
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About
Meta is seeking an experienced Software Engineer to join the Storage Infrastructure team. Our storage systems power Meta's products at unprecedented scale, handling exabytes of data with sub-second latency while enabling the next generation of AI training workloads. We build and optimize distributed storage solutions that deliver high performance and reliability for both traditional web-scale serving and the demanding throughput requirements of large-scale AI/ML training pipelines. We are looking for candidates who share a proven commitment to tackling complexity in storage systems and building platforms that can scale through multiple orders of magnitude while meeting the unique performance characteristics required for AI infrastructure.
Responsibilities
- Effectively communicate complex storage system features and architectures in detail
- Drive the team's goals and technical direction to pursue opportunities that improve storage performance, reliability, and efficiency at scale
- Design and optimize storage systems to meet the demanding throughput and latency requirements of AI training workloads
- Lead efforts to improve storage system performance for both serving and AI/ML training use cases
- Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
- Identify new opportunities for storage innovation and influence the appropriate people for staffing/prioritizing these new ideas
- Lead long term technical strategy and roadmap for storage infrastructure across the company
- Suggest, collect and synthesize requirements and create an effective feature roadmap for storage systems
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience leading storage infrastructure projects with industry-wide impact
- Vast experience communicating and working across functions to drive storage solutions
- Significant experience in mentoring/influencing engineers across organizations
- Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term mission
- Experience in driving large cross-functional/industry-wide storage engineering efforts
- 8+ years coding experience in C, C++, Java and/or C#
- 8+ years of experience building distributed storage systems or server applications Experience and familiarity with transport protocols
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with server overload protection mechanisms
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Ability to debug gnarly performance issues in networking and kernel
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience with operating system internals, filesystems, programming language design, compilers