Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.
If you'd like to build the world's best deep learning cloud, join us.
What You'll Do
- Help scale Lambda’s high performance cloud network
- Contribute to the reproducible automation of network configuration
- Contribute to the design and development of software defined networks
- Help manage Spine and Leaf networks
- Ensure high availability of our network through monitoring, failover, and redundancy
- Ensure VMs have predictable networking performance
- Help with deploying and maintaining network monitoring and management tools
You
- Have led the implementation of production-scale networking projects
- Experience managing BGP
- Have experience with Spine and Leaf (Clos) network topology
- Have experience with multi-data center networks and hybrid cloud networks
- Have experience building and maintaining Software Defined Networks (SDN)
- Are comfortable on the Linux command line, and have an understanding of the Linux networking stack
- Have python programming experience
Nice To Have
- Experience with OpenStack
- Experience with HPC networking, such as Infiniband
- Experience automating network configuration within public clouds, with tools like Terraform
- Experience with configuration management tools like Ansible
- Experience building and maintaining multi-data center networks
- Have led implementation of production-scale SDNs in a cloud context (e.g. helped implement the infrastructure that powers an AWS VPC-like feature)
- Deep understanding of the Linux networking stack and its interaction with network virtualization
- Understanding of the SDN ecosystem (e.g. OVS, Neutron, DPDK, Cisco ACI or Nexus Fabric Controller, Arista CVP)
- Experience with Next-Generation Firewalls (NGFW)
About Lambda
- We offer generous cash & equity compensation
- Investors include Gradient Ventures, Google’s AI-focused venture fund
- We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
- Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- We have a wildly talented team of 115, and growing fast
- Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco
- Health, dental, and vision coverage for you and your dependents
- Commuter/Work from home stipends
- 401k Plan
- Flexible Paid Time Off Plan that we all actually use
Salary Range Information
Based on market data and other factors, the salary range for this position is $180,000 - $230,000. 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.
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
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.
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