{"schemaVersion":"jobsearcher.job.v1","id":"fa428857ffca1e166899074d","url":"https://jobsearcher.com/jobs/fa428857ffca1e166899074d","canonicalUrl":"https://jobsearcher.com/jobs/fa428857ffca1e166899074d","title":"Network Planning & Design Manager","description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAbout the Role\n\nDesign the connectivity behind Lambda’s next data center, backbone route and customer interconnect. You’ll work directly with carrier engineers and equipment partners to turn capacity, latency and resilience requirements into infrastructure we can build.\n\nOur customers are building AI training and inference systems that depend on moving data to and between compute sites. Your decisions about routes, carrier reach and future capacity will help determine how that network grows.\n\nThis is a technical individual contributor role on the Network Planning and Delivery team within Cloud and AI Networking. You’ll take designs through Network Engineering approval and stay involved as our Delivery Managers and suppliers put them into service. You’ll see your designs become working infrastructure and help set the standards for what we build next.\n\nWhat You’ll Do\n\nDesign the Network\n\nDevelop physical and optical connectivity designs for data centers, points of presence, backbone routes and customer interconnects.\n\nTranslate customer and network requirements into routes, capacity plans, equipment needs and acceptance criteria, working within Network Engineering’s and HPC architecture.\n\nCompare dark fiber, wavelength, internet transit and interconnection options on latency, resilience, total cost, delivery time and room for expansion.\n\nValidate route diversity and identify shared conduits, building entrances, fiber extensions and other dependencies that could compromise a design.\n\nDevelop Solutions with Suppliers\n\nWork with carrier engineering teams to develop routes, extend reach and resolve coverage, site access or capacity constraints.\n\nEvaluate new and existing suppliers, gather technical proposals and budgetary quotes, and recommend options with clear tradeoffs.\n\nWork with optical and network equipment partners on alternatives when fiber availability, equipment lead times or cost put a build at risk.\n\nGive Supply Chain a defined technical scope for negotiations and contracting, including supplier assumptions and unresolved risks.\n\nTake Designs into Delivery\n\nProduce a complete design package for Network Engineering approval, then work with Delivery on the build schedule, dependencies and acceptance requirements.\n\nResolve design questions during delivery and take revisions back through Network Engineering review when site or supplier conditions change.\n\nWork with Site Selection and network planning on carrier access, backbone capacity and future expansion before deployment dates are committed.\n\nTurn lessons from completed projects into reusable designs and standards with Network Engineering.\n\nYou\n\nExperience designing or developing carrier, cloud or data center connectivity, with designs that have progressed from requirements into delivery.\n\nPractical knowledge of dark fiber, wavelength services, optical transport and internet interconnection.\n\nAbility to assess physical route diversity, equipment dependencies and capacity needs beyond what a route map alone shows.\n\nExperience working directly with carrier engineers, colocation providers or equipment suppliers to solve design constraints.\n\nAbility to compare supplier options on technical fit, delivery risk and total cost, and explain your recommendation.\n\nClear design documentation that engineering reviewers and delivery teams can use.\n\nNice To Have\n\nExperience designing long-haul optical networks or dense wavelength division multiplexing (DWDM) systems.\n\nExperience with private cloud connectivity, internet exchanges or large compute deployments.\n\nCarrier solutions engineering experience, or familiarity with route mapping and capacity planning tools.\n\nWe Are Looking for Someone Who Is\n\nCurious enough to investigate how a proposed route will work in the field.\n\nComfortable making a recommendation, explaining the assumptions and revising it when the facts change.\n\nMotivated by seeing your designs built and improving how the next project gets done.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nCompensation Range: $196K - $290K","company":"Lambda","rawCompany":"lambda","city":"Seattle","state":"WA","isRemote":false,"isActive":true,"createdAt":"2026-10-13T08:40:34.239Z","occupations":[{"code":"15-1241.00","title":"Computer Network Architects","slug":"computer-network-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1241.01","title":"Telecommunications Engineering Specialists","slug":"telecommunications-engineering-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Network Planning & Design Manager","description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAbout the Role\n\nDesign the connectivity behind Lambda’s next data center, backbone route and customer interconnect. You’ll work directly with carrier engineers and equipment partners to turn capacity, latency and resilience requirements into infrastructure we can build.\n\nOur customers are building AI training and inference systems that depend on moving data to and between compute sites. Your decisions about routes, carrier reach and future capacity will help determine how that network grows.\n\nThis is a technical individual contributor role on the Network Planning and Delivery team within Cloud and AI Networking. You’ll take designs through Network Engineering approval and stay involved as our Delivery Managers and suppliers put them into service. You’ll see your designs become working infrastructure and help set the standards for what we build next.\n\nWhat You’ll Do\n\nDesign the Network\n\nDevelop physical and optical connectivity designs for data centers, points of presence, backbone routes and customer interconnects.\n\nTranslate customer and network requirements into routes, capacity plans, equipment needs and acceptance criteria, working within Network Engineering’s and HPC architecture.\n\nCompare dark fiber, wavelength, internet transit and interconnection options on latency, resilience, total cost, delivery time and room for expansion.\n\nValidate route diversity and identify shared conduits, building entrances, fiber extensions and other dependencies that could compromise a design.\n\nDevelop Solutions with Suppliers\n\nWork with carrier engineering teams to develop routes, extend reach and resolve coverage, site access or capacity constraints.\n\nEvaluate new and existing suppliers, gather technical proposals and budgetary quotes, and recommend options with clear tradeoffs.\n\nWork with optical and network equipment partners on alternatives when fiber availability, equipment lead times or cost put a build at risk.\n\nGive Supply Chain a defined technical scope for negotiations and contracting, including supplier assumptions and unresolved risks.\n\nTake Designs into Delivery\n\nProduce a complete design package for Network Engineering approval, then work with Delivery on the build schedule, dependencies and acceptance requirements.\n\nResolve design questions during delivery and take revisions back through Network Engineering review when site or supplier conditions change.\n\nWork with Site Selection and network planning on carrier access, backbone capacity and future expansion before deployment dates are committed.\n\nTurn lessons from completed projects into reusable designs and standards with Network Engineering.\n\nYou\n\nExperience designing or developing carrier, cloud or data center connectivity, with designs that have progressed from requirements into delivery.\n\nPractical knowledge of dark fiber, wavelength services, optical transport and internet interconnection.\n\nAbility to assess physical route diversity, equipment dependencies and capacity needs beyond what a route map alone shows.\n\nExperience working directly with carrier engineers, colocation providers or equipment suppliers to solve design constraints.\n\nAbility to compare supplier options on technical fit, delivery risk and total cost, and explain your recommendation.\n\nClear design documentation that engineering reviewers and delivery teams can use.\n\nNice To Have\n\nExperience designing long-haul optical networks or dense wavelength division multiplexing (DWDM) systems.\n\nExperience with private cloud connectivity, internet exchanges or large compute deployments.\n\nCarrier solutions engineering experience, or familiarity with route mapping and capacity planning tools.\n\nWe Are Looking for Someone Who Is\n\nCurious enough to investigate how a proposed route will work in the field.\n\nComfortable making a recommendation, explaining the assumptions and revising it when the facts change.\n\nMotivated by seeing your designs built and improving how the next project gets done.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nCompensation Range: $196K - $290K","datePosted":"2026-10-13T08:40:34.239Z","dateModified":"2026-10-13T08:40:34.239Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fa428857ffca1e166899074d"},"url":"https://jobsearcher.com/jobs/fa428857ffca1e166899074d"}}