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Meta · 2 days ago

Software Engineer - AI SysML, Meta Superintelligence Labs

United States

Full-time

Remote

Senior Level

Meta is a technology company that builds platforms for connection and community. They are seeking a Software Engineer to lead the development of GenAI dataloading and storage systems, focusing on scalable data infrastructure for AI/ML applications and collaborating across teams to enhance Meta's AI data platforms.

Computer Software

Comp. & Benefits

Responsibilities

Serve as a technical leader for the design and architecture of scalable dataloading and storage solutions for GenAI workloads within WS Airstore

Drive architectural decisions and set technical direction for high-throughput, low-latency data pipelines supporting large language and multimodal models

Develop and optimize data storage formats, access patterns, and caching strategies for GenAI use cases

Collaborate with research, infrastructure, and product teams to understand evolving GenAI data requirements and translate them into robust engineering solutions

Define use cases, develop methodologies, and establish benchmarks to evaluate and improve data infrastructure approaches

Mentor and provide technical guidance to engineers across the organization, fostering best practices in large-scale data engineering and distributed systems

Stay abreast of industry and Meta-wide trends in AI data infrastructure, storage technologies, and distributed computing

Qualification

Data infrastructure designDistributed systemsC/C++PythonAI/ML workloadsData storage formatsMentoring engineersTechnical leadershipCross-functional collaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Demonstrated experience as a technical leader in the design and architecture of large-scale data infrastructure or storage systems

Experience driving cross-functional engineering efforts and influence architectural direction without direct management responsibilities

Track record of planning and executing technical roadmaps, with shorter-term projects laddering to long-term vision

Experience with distributed systems and large-scale data management

Experience mentoring and influencing engineers across organizations

Specialized experience in one or more of the following domains. Data infrastructure for AI/ML (GenAI, LLMs, multimodal models), Distributed storage systems, data lakes, or cloud object stores, High-performance data pipelines and ETL frameworks, or Planet scale data base / data store

Proficiency in C/C++, Python, or similar languages for developing data infrastructure

Experience developing and optimizing data systems for AI/ML workloads