AI/HPC Network Performance Engineer
- Location
- Menlo Park, CA
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 8+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- Python
- C++
- Go
- datacenter network design
- software defined networking
Also useful
- RDMA
- RoCE
- InfiniBand
- AI training workloads
About the role
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- AI/HPC Network Performance Engineer
- AI/HPC Network Performance Engineer
- Menlo Park, CA
- Network Engineering
- + 2 more
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.
Network Performance Engineer 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)
- 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
- 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)
- Understanding of RDMA congestion control mechanisms on IB and RoCE Networks
- Experience with scale-up and scale-out network fabric architectures
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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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $184,000/year to $257,000/year + bonus + equity + benefits
Individual 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.
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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.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Where is the AI/HPC Network Performance Engineer job at Meta located?
This AI/HPC Network Performance Engineer position at Meta is located in Menlo Park, CA. Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for AI/HPC Network Performance Engineer at Meta?
For the AI/HPC Network Performance Engineer role, Meta highlights 8+ years of relevant experience; a bachelor's degree; experience with Python, C++, Go, datacenter network design, software defined networking. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI/HPC Network Performance Engineer position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.