Enterprise System Engineer

Meta is seeking an experienced Enterprise System Engineer to join their Enterprise Infrastructure & Security (EIS) team, specifically working with the ARC team that supports Reality Labs Research. This role combines systems engineering expertise with modern DevOps practices to build and maintain critical infrastructure.

The position involves working at the intersection of enterprise infrastructure and AI research, implementing and managing GPU clusters that support Meta's cutting-edge research initiatives. You'll be responsible for everything from hardware selection to lifecycle management, ensuring that research teams have the computing resources they need to push boundaries in AI and related fields.

As an Enterprise Systems Engineer, you'll be building and scaling Linux environments, implementing infrastructure-as-code solutions, and managing container orchestration systems. The role requires both deep technical knowledge and the ability to collaborate effectively with research teams to understand and meet their unique computing needs.

Key aspects of the role include:

• Designing and implementing scalable, automated infrastructure solutions
• Managing and optimizing GPU clusters for research workloads
• Leading incident response and root cause analysis
• Mentoring other engineers and establishing best practices
• Working with cutting-edge technologies in AI research infrastructure

The ideal candidate will bring strong Linux systems engineering experience, coding proficiency in languages like Python or Go, and expertise with modern DevOps tools and practices. You'll need to be comfortable working in a fast-paced environment where you'll balance multiple projects while maintaining high standards for system reliability and security.

This role offers an exciting opportunity to work at the forefront of AI research infrastructure, with competitive compensation including a base salary range of $169,000-$233,000 plus bonus and equity. You'll be part of Meta's mission to advance technology while working with some of the brightest minds in the field.

The position is based in Pittsburgh, PA, where you'll have access to Meta's world-class facilities and resources. You'll be part of a team that values innovation, collaboration, and technical excellence, with opportunities to make significant impacts on how Meta conducts its research operations.