Production Systems Engineer, AI Network

Meta; Seattle (WA); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta is seeking a Systems Engineer for the RTP-NPI team to advance AI/ML initiatives across large-scale data centers. You will drive hardware/software lifecycles, prototype new platforms, and troubleshoot complex issues spanning firmware, drivers, and system validation.

You will collaborate with HW/SW co-design, hardware design, networking, and data center operations to enable production-ready AI servers. A strong background in NICs, RDMA, and TCP/IP is essential.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
• 8+ years in AI/ML networking, HPC network evaluation, or related domains.
• Knowledge of TCP/IP and networking measurement tools like iperf.
• Experience with server architecture and Linux.
• Hands-on debugging and troubleshooting across firmware/driver layers.
• Experience leading large cross-functional projects.

Responsibilities

• Lead integration of scale-up (NVLink/XGMI/RoCE) and scale-out (NICs) interfaces for AI platforms.
• Develop understanding of collective communication patterns to optimize NPI.
• Proactively create experiments to detect, reproduce, and diagnose hardware/firmware/software issues.
• Contribute to prototyping for future AI tech explorations and experiments.
• Troubleshoot and root-cause system failures with internal/external partners.
• Improve visibility through data visualization and systemic health solutions.
• Leverage production experience to drive cross-team product quality improvements.

Skills

AI/ML networking

Network ASIC/Platform development

Interconnect technologies

NIC deployment

iperf

TCP/IP

Linux

Troubleshooting

Project leadership

Education

Bachelor's degree in CS/CE or equivalent

Tools

iperf

Job description

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 drive scale up and scale out network technologies for Meta AI systems that are powering Meta’s tremendous leaps in the AI space. An ideal candidate is 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:Lead integration of scale up (e.g. NVLink, XGMI, RoCE) and scale out (e.g. NICs) interfaces for AI platformsDevelop 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 issuesContribute to prototyping and proof-of-concept efforts for future technology explorations in the AI spaceTroubleshoot, diagnose, and root-cause system failures and isolate the components/failure scenarios while working with internal and external partnersDevelop visibility through data visualization and implement systemic solutions to hardware health issuesLeverage production experience to drive external and internal teams to continuously improve product qualityMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience8+ years of work experience in one or more domains such as: AI/ML/HPC network evaluation and tuning, 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 TCP/IP and experience in using tools like iperfKnowledge of server architecture and componentsExperience working with LinuxHands-on troubleshooting and debugging experienceExperience leading projects with large teamsPreferred Qualifications:Understanding of AI training process and various scale-out topologiesExperience working with RDMA/RoCE, including scale-out networksExperience working with AI server systemsExperience working with large-scale deploymentsExperience working with Network Interface Cards (NICs)About 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 WhatsApp 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 characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$173,000/year to $245,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.