Production Systems Engineering Manager, RTP
3 weeks ago
Meta is seeking an Engineer Manager to join our Release to Production (RTP) team working on AI/ML initiatives. 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 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-NPI team in RTP 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. We also work across service and hardware architectures for new AI systems, build prototypes to demonstrate the value, enable go/no-go decisions and optimize these systems in production.
Production Systems Engineering Manager, RTP Responsibilities
Lead teams interact 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
Working with end users and cross functional partners to execute full product life-cycles (prototyping, deployment and support)
Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues
You will lead teams who work on extensive functional and electrical characterization over temperature, process corner and voltage
Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders
Continuously improve cross functional collaboration with partnership teams to improve quality and efficiency for NPI
Be both a highly technical, and an effective people manager
Participate in technical design
Define and influence product strategy
Minimum Qualifications
BS or advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Engineering, Math, Physics or a related field or equivalent experience
Demonstrate proven experience in one or more domains such as ASIC development (Silicon design or bring up or characterization), compute (ARM, x86), AI-ML hardware/software (GPUs, TPUs)
Knowledge of server architecture and components across Compute/AI systems
Experience in leading strategic implementation and planning for risk and growth
Developing and managing requirements, and making data-driven decisions
Preferred Qualifications
6+ years of experience leading teams with some of the following modules/domains: Servers, CPU, GPU, DRAM (DDR4/5 or HBM), PCIe, Network
5+ years of experience in leading/managing hands-on SW/FW/HW engineering teams to build systems/products for data-center environments, consumer devices/HW, or similar
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