*Note: This position requires presence in our San Francisco/San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
What You'll Do- Help to build and scale Lambda's high performance cloud network
- Work on deploying and configuring networking Hardware for new and existing clusters
- Ensure high availability of our network through monitoring, failover, and redundancy
- Contribute to automation of network configuration management and operation
- Work with internal and external customers to resolve network related issues
- Help with deploying and maintaining network monitoring and management tools
- Will be part of day2 operations and on-call rotation for Network Engineering team
You- Have 10+ years of experience in IT and networking space
- Have 6+ years of experience in designing and operating production Data Center type of networks
- Have led the implementation of large production-scale networking projects
- Experience managing Next-Generation Firewalls (e.g. Fortigate)
- Have experience with cloud providers networking (such as AWS, GCP, OCI)
- Expert in CLOS/Spine and Leaf fabrics,EVPN/VXLAN, ECMP, BGP, and fast convergence techniques.
- Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals
- Strong automation skills (Python, Ansible) and network APIs and worked with git or similar source control systems
- Production experience with multiple network gear vendors (Arista, Juniper, Cisco, Cumulus/SONiC, Opengear)
- Experience with Networking Monitoring stack (Datadog, Clickhouse, Grafana, Prometheus, gNMI, OTel)
Nice to Have- Have knowledge or experience maintaining Software Defined Networks (SDN)
- Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt
- Hands-on with HPC/AI networking: RoCEv2 and/or InfiniBand (Congestion Control, VLs, partitions), GPUDirect RDMA concepts.
- Experience with DWDM technologies and SD-WAN
- Understanding of data center power/space/cooling trade-offs and their impact on topology choices
- Have experience with virtualization technology, like ESXi, KVM, and VMs management
- Experience with LoadBalancers like F5, NetScaler
Salary Range InformationThe 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.
About Lambda- Founded in 2012, with 500+ employees, and growing fast
- 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
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- 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.
