Staff Network Engineer Remote, USA

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.

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 VMsclients 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 15+ years of experience in building and managing complex networks
• Have led the implementation of production-scale networking projects
• 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 designing, building and 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 Monitoring/Observability tools like Datadog, Splunk, Grafana, Prometheus
• 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 annual salary range for this position is $190,000 - $270,000. 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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