AI/HPC Network Performance Engineer

Onsite$184,000 - $257,000/yrPosted today

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Job details

Location: Menlo Park, California
Work type: Onsite
Compensation: $184,000 - $257,000/yr
Posted: today
Apply on: metacareers.com

About this role

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads that expects a lossless fabric interconnect. To improve performance of these systems we constantly look for opportunities across our infrastructure stack: network fabric and host networking, comms lib and scheduling infrastructure.

Responsibilities

Design, develop, test and operate networking systems to support large scale AI training jobs
Research, develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks
Work closely with our hardware, software and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure
Define and develop optimized network automation tools and systems, including configuration, provisioning, monitoring, alarming, auto-remediation and more
Be oncall to learn from real world production challenges and take the lessons to improve current and future generation products
Provide guidance on network architecture including scale-up and scale-out topologies, transport protocols, and performance optimization techniques

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience in system performance engineering, network infrastructure engineering, or a related field within large-scale distributed computing or HPC environments
Experience coding in languages like Python, C++, Go
Experience in designing, deploying and operating datacenter networks at scale
Experience in network automation software leveraging software defined networking principles

Preferred Qualifications

Understanding of AI training workloads and demands they exert on networks
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
4+ years of experience working on networks supporting large scale training workloads
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience working with IB/RDMA/RoCE Networks
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Understanding of RDMA congestion control mechanisms on IB and RoCE Networks
Experience with scale-up and scale-out network fabric architectures

Compensation

$184,000/year - $257,000/year; Country: US; Bonus eligible; Equity eligible

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.

California Notice

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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