Lambda
Network Planning & Design Manager
San Francisco Office (Fremont St)
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About the role
- Your decisions about routes, carrier reach and future capacity will help determine how that network grows.
- This is a technical individual contributor role on the Network Planning and Delivery team within Cloud and AI Networking.
Responsibilities
- Design the Network
- Develop physical and optical connectivity designs for data centers, points of presence, backbone routes and customer interconnects.
- Validate route diversity and identify shared conduits, building entrances, fiber extensions and other dependencies that could compromise a design.
- Develop Solutions with Suppliers
- Work with optical and network equipment partners on alternatives when fiber availability, equipment lead times or cost put a build at risk.
- Take Designs into Delivery
- 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.
- Our 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
Nice to have
- 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.
- Curious enough to investigate how a proposed route will work in the field.
- Comfortable making a recommendation, explaining the assumptions and revising it when the facts change.
- 401k Plan with 2% company match (USA employees)
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- The 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.
- We offer generous cash & equity compensation
Benefits
- Work with carrier engineering teams to develop routes, extend reach and resolve coverage, site access or capacity constraints.
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
Company info
- 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.
- Our 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.
- Our customers are building AI training and inference systems that depend on moving data to and between compute sites.
Equal opportunity
- Lambda 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.