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Meta

Network Planning Engineer - Transport Planner

Menlo Park, CA

Every day we strive to provide the best possible experience to our users that are now numbered in billions, and to make that possible, we have deployed an ultra-high capacity backbone network that spans the Globe. We are looking for a Transport Planner to join our Backbone team to support the expansion of our global network. This is an ideal role for a Network Planner that wants to work on a purpose built and ever-expanding network that touches and changes the lives of billions for the better every day.

Network Planning Engineer - Transport Planner Responsibilities:

  • Analyze traffic capacity projections and develop an optical transport network capacity plan accordingly
  • Partner with Software Engineering & Product Engineering teams to develop capacity planning models and optimization simulations for network infrastructure
  • Partner with Network Engineering teams to establish new design standards and build them into production
  • Follow the developments of IP or Optical technology roadmaps and capabilities
  • Network design, accounting for technological capabilities and network routing, to ensure scaling requirements and resiliency for the network are met
  • Model ad-hoc, what-if scenarios, including greenfield and brownfield demand and supply scenarios to set strategy
  • Investigate collections of network failure and routing behaviors, and create simulation tests to improve network efficiency and network reliability metrics
  • Oversee fiber topology evolution of the backbone to achieve resiliency, and latency requirements
  • Work with engineering, finance, and sourcing to support backbone fiber acquisitions strategies
Minimum Qualifications:

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  • 3+ years of experience in transport network planning in high capacity, mission critical environment
  • Experience with designing IP, Optical, or Fiber networks and knowledge of current technology
  • Knowledge of network topology and experience in building resiliency design
  • 2+ years of experience with network modeling tools such as NPS, One Planner, OPNET, Cariden, WAE, Aria, WANDL or other in-house tool
  • 2+ years of coding experience in Python or another programming language (e.g. PHP, C++, or Java)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
  • Experience with both terrestrial and submarine networks
  • Production transport network design experience
  • Experience with optical link design, wavelength assignment, and coherent modulation schemes
  • Experience modeling and analyzing a business case for network expansion or fiber acquisition
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.

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.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1K2K0000090AE9UAM_1001
Employment Type: Other

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

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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