Senior Network Engineer

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. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco, San Jose, or Bellevue 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 Information

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.

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

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.