INACTIVE
Full-Time
Data Center Technician
Posted on 4/30/2024
On-demand NVIDIA GPUs for deep learning
Hardware
Compensation Overview
$65,000 - $115,000Annually
+ Cash Compensation + Equity Compensation
Junior
Chicago, IL, USA
Required Skills
Linux/Unix
Requirements
- 2+ years of experience with critical infrastructure systems supporting data centers
- Strong Linux administration experience
- Experience in setting up networking appliances across multiple data center locations
Responsibilities
- 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
- Participate in data center capacity and roadmap planning with sales and customer success teams to allocate floorspace
- Assess current and future state data center requirements based on growth plans and technology trends
- 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 as part of sales engagement for large-scale deployments in our data centers and at customer sites
Lambda offers on-demand access to NVIDIA H100 Tensor Core GPUs in a public cloud, designed for deep learning and generative AI, with the ability to reserve thousands of GPUs with 3200 Gbps Infiniband for cloud clusters. Additionally, Lambda provides an open source AI software stack used by over 50,000 ML teams, including PyTorch®, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers.
Company Stage
Series C
Total Funding
$932.2M
Headquarters
San Jose, California
Founded
2012
Growth & Insights
Headcount
6 month growth
↑ 8%1 year growth
↑ 19%2 year growth
↑ 89%INACTIVE