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Lambda

Cloud-based GPU services for AI training

Network Planning & Design Manager

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-time$196k - $290k /yr

About the Job

Requirements

  • Experience designing or developing carrier, cloud or data center connectivity, with designs that have progressed from requirements into delivery.
  • Practical knowledge of dark fiber, wavelength services, optical transport and internet interconnection.
  • Ability to assess physical route diversity, equipment dependencies and capacity needs beyond what a route map alone shows.
  • Experience working directly with carrier engineers, colocation providers or equipment suppliers to solve design constraints.
  • Ability to compare supplier options on technical fit, delivery risk and total cost, and explain your recommendation.
  • Clear design documentation that engineering reviewers and delivery teams can use.

Responsibilities

  • Develop physical and optical connectivity designs for data centers, points of presence, backbone routes and customer interconnects.
  • Translate customer and network requirements into routes, capacity plans, equipment needs and acceptance criteria, working within Network Engineering’s and HPC architecture.
  • Compare dark fiber, wavelength, internet transit and interconnection options on latency, resilience, total cost, delivery time and room for expansion.
  • Validate route diversity and identify shared conduits, building entrances, fiber extensions and other dependencies that could compromise a design.
  • Work with carrier engineering teams to develop routes, extend reach and resolve coverage, site access or capacity constraints.
  • Evaluate new and existing suppliers, gather technical proposals and budgetary quotes, and recommend options with clear tradeoffs.
  • Work with optical and network equipment partners on alternatives when fiber availability, equipment lead times or cost put a build at risk.
  • Give Supply Chain a defined technical scope for negotiations and contracting, including supplier assumptions and unresolved risks.
  • Produce a complete design package for Network Engineering approval, then work with Delivery on the build schedule, dependencies and acceptance requirements.
  • Resolve design questions during delivery and take revisions back through Network Engineering review when site or supplier conditions change.
  • Work with Site Selection and network planning on carrier access, backbone capacity and future expansion before deployment dates are committed.
  • Turn lessons from completed projects into reusable designs and standards with Network Engineering.

Desired Qualifications

  • Experience designing long-haul optical networks or dense wavelength division multiplexing (DWDM) systems.
  • Experience with private cloud connectivity, internet exchanges or large compute deployments.
  • Carrier solutions engineering experience, or familiarity with route mapping and capacity planning tools.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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