Production Systems Engineer, AI Network

Meta; Bellevue (WA); Sur place; USD 144 000 - 204 000; Plein temps

Résumé du poste

Meta seeks a Systems Engineer for the RTP-NPI team, focusing on AI/ML initiatives and large-scale data center systems. You will work across HW/SW co-design, networking, and data center operations to enable new AI platforms from prototyping to production.

You will drive hardware lifecycle activities, perform firmware/driver bring-up, and support production deployments while mitigating failures. Remote possibilities are limited; on-site collaboration is essential.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field or equivalent practical experience.
• 6+ years in Network ASIC/Platform development or related field such as switch deployment or interconnect tech.
• Strong Linux experience and proficiency with TCP/IP and iperf.
• Hands-on troubleshooting, debugging across firmware, driver, and software layers.

Responsabilités

• Support AI platform introduction into Meta's fleet by driving scale up/down interfaces.
• Develop understanding of collective communication patterns and AI workloads for NPI.
• Create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
• Contribute to rapid prototyping and PoC for future AI tech explorations.
• Troubleshoot and root cause system failures with internal/external partners.
• Develop visibility through data visualization and systemic hardware health solutions.
• Leverage production experience to improve product quality with teams.

Connaissances

Linux

TCP/IP

Iperf

Troubleshooting

Hardware debugging

Network integration

NVLink

XGMI

NICs

Formation

Bachelor's degree in Computer Science, Computer Engineering, or related field

Outils

PCIe

RDMA

Description du poste

Summary:

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.

Required Skills:

Production Systems Engineer, AI Network Responsibilities:

1. 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

2. Develop an understanding of collective communication patterns and AI workloads to incorporate this as part of NPI

3. Proactively create experiments and tooling to detect, reproduce, and diagnose hardware/firmware/software health issues

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

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

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

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

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 6+ 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)

3. Knowledge of server architecture and components

4. Experience working with Linux

5. Knowledge of TCP/IP and experience using iperf

6. Hands-on troubleshooting and debug experience

Preferred Qualifications:

Preferred Qualifications:

1. Experience working with large-scale deployments

2. Experience working with Network Interface Cards (NICs)

3. Experience working with RDMA/ RoCE

4. Experience working with a full server system, including PCIe

Public Compensation:

$144,000/year to $204,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and 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].