Software Engineer - Storage (Technical Leadership)

Meta•Bellevue, WA

10d•$219,000 - $301,000

About The Position

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.

Requirements

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

Nice To Haves

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

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