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Network Engineering Manager

Today Menlo Park, CA

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 training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA (Remote Direct Memory Access) workloads. These workloads expect a loss-less fabric interconnect with minimal latency. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, communications lib and scheduling infrastructure.

Network Engineering Manager Responsibilities:

  • Manage engineers who are responsible for design, model, develop, test, deploy and operate AI/HPC Networks at scale
  • Provide continual feedback that is actionable, coach in career development and conduct performance reviews
  • Help define and drive a technical roadmap to meet organizational objectives
  • Be a hands-on manager with technical experience in networking, systems, hardware and software
  • Operate in a rapidly evolving environment, adapt quickly to new information, prioritize as needed
  • Proactively identify resource needs, participate in recruiting efforts, and hire to grow the team
Minimum Qualifications:
  • 8+ years of experience in systems, networking and troubleshooting
  • 4+ years of direct management experience in technology sector
  • Experience in network automation software leveraging software defined networking principles
  • Engineering degree, or a related technical discipline or equivalent experience
Preferred Qualifications:
  • 2+ years of experience working on networks supporting large scale AI model training workloads
  • Expert Knowledge of IB/RDMA/RoCE Networks
  • Understanding of routing and switching - hardware design and knowledge of forwarding and data planes
  • Understanding of AI training workloads and demands they exert on networks
  • Understanding of RDMA congestion control mechanisms on IB and RoCE Networks
About Meta:

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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 accommodations-ext@fb.com.

$177,000/year to $251,000/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.

Client-provided location(s): Menlo Park, CA
Job ID: a1KDp00000E2e2GMAR
Employment Type: OTHER
Posted: 2025-09-16T19:58:20

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

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