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Lambda Inc.

Senior Network Engineer

Lambda Inc., San Francisco, California, United States, 94199


In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You'll Do Help scale Lambda’s high performance cloud network

Contribute to the reproducible automation of network configuration and deployments

Contribute to the implementation of software defined networks

Help to manage Spine and Leaf networks

Ensure high availability of our network through monitoring, failover, and redundancy

Ensure clients have predictable networking performance through the use of QoS and other applicable technologies

Help with deploying and maintaining network monitoring and management tools

You Have 10+ years of experience with complex networks

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)

Have experience with operating BGP EVPN VXLAN networks

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 DWDM technologies

Experience with SD-WAN

Experience with HPC networking, such as InfiniBand or RoCE

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)

Salary Range Information Based on market data and other factors, the salary range for this position is $171,000 - $246,000. 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. About Lambda We offer generous cash & equity compensation

Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB

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 350+, and growing fast

Health, dental, and vision coverage for you and your dependents

Commuter/Work from home stipends for select roles

401k Plan with 2% company match

Flexible Paid Time Off Plan that we all actually use

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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