Senior Networking Engineer at Lambda

San Francisco, California, United States

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$203,000 – $417,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

3+ years of experience in IT space, and 1+ in managing networks
Experience with virtualization technology, like ESXi, KVM, and VMs management
Experience with FW policies configurations
Experience with multi-data center networks and hybrid cloud networks
Understanding of BGP EVPN VXLAN networks, Spine and Leaf (Clos) network topology
Comfortable on the Linux command line, and understanding of the Linux networking stack and internals
Python and/or bash programming experience and worked with git or similar source control systems

Responsibilities

Help to build Lambda’s cloud networking infrastructure
Contribute to automation of network configuration
Be part of operations and on-call for networking
Work with internal and external customers to resolve network related issues
Work on deploying and configuring networking HW, Switches, FWs, for new clusters
Help with deploying and maintaining network monitoring and management tools

Skills

Key technologies and capabilities for this role

LinuxPythonBashGitESXiKVMBGPEVPNVXLANFirewallTerraformAnsiblePrometheusGrafanaDatadogInfiniBandRoCESDN

Questions & Answers

Common questions about this position

What is the salary range for the Senior Networking Engineer position?

The salary range is $203K - $417K annually, though it may vary based on qualifications and market factors.

Is this a remote or hybrid role, and what are the office requirements?

This is a hybrid position requiring presence in the San Francisco/San Jose/Seattle office 4 days per week, with Tuesday as the designated work-from-home day.

What key skills and experience are required for this role?

Candidates need 3+ years in IT with 1+ in network management, experience with virtualization like ESXi/KVM, FW policy configurations, multi-data center/hybrid cloud networks, BGP EVPN VXLAN, Spine/Leaf topology, Linux CLI/networking stack, and Python/Bash with git.

What is the company culture like at Lambda?

Lambda is a fast-growing company focused on building the world's best deep learning cloud for AI deployments, working with top labs on massive world-changing projects alongside people who love action and hard problems.

What makes a strong candidate for this Senior Networking Engineer role?

A strong candidate has the required 3+ years IT experience with network management expertise, plus nice-to-haves like monitoring tools (Datadog, Prometheus), SDN, HPC networking (Infiniband/RoCE), cloud automation (Terraform/Ansible), and NGFW experience.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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