Production Systems Engineer, AI Network

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 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.

Required Skills:

Production Systems Engineer, AI Network Responsibilities:

1. Lead integration of scale up (e.g. NVLink, XGMI, RoCE) and scale out (e.g. NICs) interfaces for AI platforms

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 issues

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

5. Troubleshoot, diagnose, and root-cause 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 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. 8+ 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)

3. Knowledge of TCP/IP and experience in using tools like iperf

4. Knowledge of server architecture and components

5. Experience working with Linux

6. Hands-on troubleshooting and debugging experience

7. Experience leading projects with large teams

Preferred Qualifications:

Preferred Qualifications:

1. Understanding of AI training process and various scale-out topologies

2. Experience working with RDMA/RoCE, including scale-out networks

3. Experience working with AI server systems

4. Experience working with large-scale deployments

5. Experience working with Network Interface Cards (NICs)

Public Compensation:

$173,000/year to $245,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 [email protected].