AI Infrastructure Data Center Deployment Lead

Job not on LinkedIn

🕒 4 days ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $109k - $145k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Lambda

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $39.7M Venture Round on 2022-11

Consulting • Healthcare • Logistics

Lambda is a company that provides cloud-based solutions and hardware for AI development. They offer on-demand GPU clusters for multi-node training and fine-tuning, as well as inference endpoints and APIs. Their products include the Lambda GPU Cloud, which features NVIDIA's latest generation of infrastructure for enterprise AI, and customizable GPU workstations and desktops designed for AI and deep learning. Lambda also offers a one-line installation and managed upgrade path for machine learning tools like PyTorch, TensorFlow, and NVIDIA CUDA. By focusing on enabling AI developers, Lambda provides both public and private cloud services with access to powerful NVIDIA Tensor Core GPUs.

📋 Description

• Be a primary deployment member for major cluster / data center deployments as well as be able to respond to smaller on-premise deployments, if needed. • Develop your skillset for new data center deployments, deployment planning, and technical AI infrastructure and cluster configurations. • Be responsive to project management, Supply Chain, HPC logical configuration, and Data Center Operations teams during deployment planning and execution. • Collaborate with cross-functional teams to address deployment-related challenges and optimize regional operations. • Interface with vendors to guide the build out of Lambda data center to meet exacting standards. • Understand power/cooling requirements as well as cabling needs required within data center space to support high performance infrastructures to guide data center build outs. • Participate in technical discussions and provide input on data center integration and deployment strategies. • Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales, to align data center solutions with business goals. • Be conversant on infrastructure components (compute, storage, networking) used in deployments. Understanding component configuration and integration to guide system deployments, design, and operations. • Collaborate with stakeholders to understand customer requirements and translate them into actionable plans. • Interface with Hardware Engineering and Architecture teams to develop operational standards and requirements for infrastructure deployments. • Follow best practices and guidelines for efficient and consistent data center operations. • Ensure compliance with industry standards and regulations in datacenter safety. • Identify opportunities for process improvement and operational efficiency in data center integration and deployment. • Stay updated with the latest industry trends, technologies, and best practices. • Drive innovation and propose new solutions to enhance data center operations.

🎯 Requirements

• Experience in data center operations and integration, preferably in a leadership role. • Experience with large scale data center and infrastructure deployments. • Understanding of data center design, deployment, and architecture. • Understanding of deployment planning. • Knowledge of industry standards and regulations related to data center operations. • Problem-solving and analytical skills, with the ability to address data center challenges. • Communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders. • Provide guidance to numerous teams involved in systems deployments. • Familiarity with hardware engineering, supply chain, and inventory management processes. (NetBox, Jira, etc.) • Knowledge of high performance computing technologies and their integration with data center operations. • Expertise with DGX & HGX based systems architecture. • Professional certifications related to data center operations and integration.

🏖️ Benefits

• 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