Meta is seeking a Systems Engineer to join our Release to Production (RTP) team working on AI/ML initiatives supporting large scale AI Training and Inference. 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 end-to-end Hardware Lifecycle of all Meta servers including prototyping of experimental HW, pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues. RTP team also helps in exploring, developing and productizing high-performance software and hardware technologies for AI at datacenter scale.RTP Engineers work closely with HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers. Ramping to production and solving the datacenter scaling and deployment challenges requires us to take a systems based approach to Silicon bring up and validation. The ideal candidate has hands-on experience with at least a couple of hardware/software (silicon, power, thermal, firmware) lifecycle phases: design/bring up, server integration, system validation, supporting customer deployment, production issue triage.

• Lead and execute comprehensive end-to-end system validation.
• Collaborate with hardware design and silicon validation teams to define test strategy at system level.
• Contribute to new feature/technology development/validation across hardware/software stack.
• Contribute to enabling hacks for future technology explorations in AI silicon and system space such as memory, network and storage interdependencies in the context of AI workloads.
• Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
• Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external partners.
• Develop visibility through data visualization and implement systemic solutions to hardware health issues.
• Leverage production experience to drive external and internal teams to continuously improve product quality.
• Communicate complex technical findings to diverse stakeholders at all levels.
• Proactively identify and mitigate potential product risks based on testing insight.

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• BS or advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Engineering, Math, Physics or a related field or equivalent experience.
• 3+ years of experience in hands-on SW/FW/HW engineering to build systems/products for data center environments, consumer devices/HW, or similar.
• Work experience in one or more domains such as: AI ASIC development (Silicon design, bringup, characterization, validation), board level debug, firmware validation, system validation.
• Experience troubleshooting and debugging using lab tools.
• Experience in developing test specifications, procedures, and debug guides for test solutions.
• Experience with one or more of the following modules/domains: PCIe, Networking, Flash, Memory, CPU, GPU, DRAM (DDR4/5 or HBM)

• Proficient in HPC or AI system architecture and Cluster Interconnect technologies.
• Experience with embedded systems' architecture and components, performance optimization of algorithms, test automation, and instrument communication (oscilloscopes, protocol analyzers, traffic generators, etc.)
• Experience in debugging tools for systems-on-chip (SoCs) - eg. JTAG, GDB, Trace32
• Knowledge of common bus protocols such as I2C, SPI, USB, and/or PCIe.
• Experience with Linux systems and server systems management.
• Experience authoring test plans for complex chipsets for functional, stress and performance testing.
• Experienced in the integration of lab tools for automated workflows with large scale deployments.
• 2+ years experience scripting automation in Python.
• Proficiency in continuous integration/continuous delivery tools.