Data Center Support Engineer at Lambda

San Jose, California, United States

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$128,000 – $192,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, AI InfrastructureIndustries

Requirements

3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Strong Linux administration experience
Experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locations
Familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Pays attention to detail and has the ability to follow instructions
Action-oriented and has a strong willingness to learn
Willing to travel for bring up of new data center locations

Responsibilities

Help manage and maintain 2 small data centers in the San Jose area with a variety of customers and requirements
Maintain a lab environment used by multiple other teams and ensure the space remains compliant with DC Ops standards
Rack and cable networking cabinets in preparation for shipping them to deployment sites
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
Troubleshoot hardware and software issues in some of the world’s most advanced systems
Document data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Create installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
Serve as a subject-matter expert on data center deployments and standards

Skills

Key technologies and capabilities for this role

Data Center ManagementRacking and CablingNetworkingHardware TroubleshootingDCIM SoftwareInventory ManagementPower DistributionAir Flow ManagementEnvironmental MonitoringCapacity Planning

Questions & Answers

Common questions about this position

What is the salary range for the Data Center Support Engineer position?

The salary range is $128K - $192K.

Is this role remote or onsite, and where is it located?

This is an onsite position requiring presence in the San Jose, California office 5 days per week.

What key skills and experience are required for this role?

Candidates need 3+ years experience with critical infrastructure systems like power distribution, airflow management, DCIM software, structured cabling; strong Linux administration; experience setting up networking appliances (Ethernet and InfiniBand); and knowledge of power theories, PDU balancing, cable types, and server hardware.

What is the company culture like at Lambda?

This information is not specified in the job description.

What makes a strong candidate for this Data Center Support Engineer role?

Strong candidates pay attention to detail, follow instructions, are action-oriented, have a strong willingness to learn, and are willing to travel for new data center bring-ups.

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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