Meta's MSL Airstore team is seeking a Software Engineer to lead the development of next-generation GenAI dataloading and storage systems. The ideal candidate will have experience in designing and scaling data infrastructure for AI/ML applications, with a focus on enabling efficient ingestion, transformation, data loading, and storage of massive datasets powering GenAI models. You will help drive technical direction, collaborate across functions, and shape the future of Meta's AI data platforms.

Software Engineer

• AI SysML, Meta Superintelligence Labs Responsibilities:
• Serve as a technical leader for the design and architecture of scalable dataloading and storage solutions for Gen

AI 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• Familiarity with modern data storage formats (e.g., Parquet, ORC) and data lake architectures
• Experience with Meta's internal data infrastructure (Airstore, Scuba, Presto, etc.) is a plus

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$74.04/hour to $217,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.