In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn’t changed. Today, we’re on a mission to be the world’s top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we’ve got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you’d like to build the world’s best deep learning cloud, join us.

• Note: This position requires presence in our Sterling / Ashburn, Virginia Area Data Center location 5 days per week.

SALARY RANGE INFORMATION

Based on market data and other factors, the salary range for this position is $76,000 - $132,000. 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.

• Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
• 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