Visiting Researcher, Release to Production
Meta, Menlo Park, California
The role
Meta is seeking an experienced Visiting Researcher to join our Release to Production (RTP) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The RTP team is responsible for the Hardware Lifecycle of all Meta servers including pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues.
RTP Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Meta services, and data center operations teams to test systems before release to our production data centers, and to track the health and lifecycle of servers in production.
What you will do
Lead interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures Contribute as a Tech Lead, owning and proactively creating experiments and tooling to detect and diagnose hardware/firmware/software health issues, in organized and collaborative efforts Develop test framework for large-scale test automation inside fleet during product development and after mass production Implement remediation across software and hardware stack according to plan, while keeping a thorough procedural record and data log Develop and publish updates on resolutions and communicate findings internally Troubleshoot, diagnose and root-cause system failures and isolate the components/failure scenarios while working with internal & external stakeholders Develop visibility through data visualization and implement systematic solutions to hardware health issues Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously Develop robust, scalable practices for supporting hardware infrastructure at scale