Software Engineer, Infrastructure - Ads Infra and Ranking

Meta•Sunnyvale, CA

2d•$271,000 - $347,000

About The Position

Meta’s Ads organization builds systems that help businesses reach people likely to care about their offerings. Ads Infra and Ranking owns the technical foundation for ad ranking, retrieval and serving, and the data, training, and inference infrastructure behind them. The organization works to maximize compute efficiency, reliability, and privacy, while using AI to accelerate development. As a senior infrastructure technical leader in Ads Infra and Ranking, you will define long-term technical strategy for distributed systems across organizations, spanning data and features through training, retrieval, and serving. You will align organizations on foundational platform changes that improve reliability, performance, and compute efficiency across Ads.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Vast experience communicating and working across functions to drive solutions.
12+ years of coding experience in C, C++, Java, and/or C#.
12+ years of experience building server applications.
Experience driving large cross-functional or industry-wide engineering efforts.
Proven track record of planning a multi-year roadmap in which shorter-term projects support a long-term vision.
Experience leading projects with industry-wide impact.
Significant experience mentoring and influencing engineers across organizations.

Nice To Haves

Experience shaping architecture and technical direction for distributed services or data platforms behind advertising, business-facing, or analogous large-scale products.
Experience aligning engineering organizations on shared service interfaces and platform foundations for dependable product integration.
Experience diagnosing systemic correctness, reliability, or performance issues across server applications and distributed services.
Experience applying knowledge of operating systems or runtime behavior to service performance and reliability problems.
Experience connecting long-term infrastructure roadmaps to customer-facing product needs and maintainable operations.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.

Responsibilities

Define a multi-year architecture and technical strategy for Ads platforms across organizations, connecting near-term projects to a long-term systems vision.
Identify new technical directions, such as hardware and software co-design, and lead cross-organizational efforts to deliver them.
Serve as a technical authority on challenging reliability, scalability, and efficiency problems across Ads platforms.
Use production data to identify structural bottlenecks and communicate architectural trade-offs to engineering and executive leaders.
Mentor and develop senior engineers and technical leaders across organizations, improving maintainability and safe delivery.
Follow company policies and applicable risk reviews when designing and deploying ML systems, document relevant decisions, and raise compliance or ethics concerns through appropriate channels.