Production Systems Engineer, AI Network

Meta is seeking a Systems Engineer to join our Release to Production New Product Introduction (RTP-NPI) 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, ultimately certifying new platforms for mass production for AI at datacenter scale.

RTP Engineers have a large swath of cross-functional partners they work closely with, e.g., 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 are looking for a candidate who can support scale up and scale out network technologies for Meta AI systems that are powering Meta’s tremendous leaps in the AI space. The candidate should be knowledgeable about network technologies (NICs, Switches, Optics, DACs, Protocols TCP/IP, RDMA) and has hands-on experience supporting them through at least a couple of hardware/software (firmware, driver) lifecycle phases: design and bring-up, server integration, system validation, supporting customer deployment, production issue triage, rolling out new features in FW/Driver.

Production Systems Engineer, AI Network Responsibilities:

Support the new AI platform introduction into Meta's fleet by driving scale up (e.g. NVLink, XGMI) and scale out (e.g. NICs) interface integration

Develop an understanding of collective communication patterns and AI workloads to incorporate this as part of NPIProactively create experiments and tooling to detect, reproduce, and diagnose hardware/firmware/software health issues

Contribute to rapid prototyping and proof-of-concept efforts for future AI technology explorations

Troubleshoot, diagnose, and root cause of system failures and isolate the components/failure scenarios while working with internal and external partners

Develop visibility through data visualization and implement systemic solutions to hardware health issues

Leverage production experience to drive both external and internal teams to continuously improve product quality

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience6+ years of work experience in one or more domains such as:
Network ASIC/Platform development (Silicon/Switch Platform design or bring-up or characterization), network product deployment and customer support (Switches, NICs), Interconnect Technologies (e.g., Optics, DAC)
Knowledge of server architecture and components

Experience working with Linux Knowledge of TCP/IP and experience using iperf

Hands-on troubleshooting and debug experience

Preferred Qualifications:

Experience working with large-scale deployments

Experience working with Network Interface Cards (NICs)
Experience working with RDMA/ RoCEExperience working with a full server system, including PCIeAbout Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected…