Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our Columbus, Ohio Data Center 5 days per week. This role has a mid-September start date.What You'll DoEnsure new server, storage and network infrastructure is properly racked, labeled, cabled, and configuredTroubleshoot hardware and software issues in some of the world's most advanced systemsDocument data center layout and network topology in DCIM softwareWork 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 trendsManage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centersWork closely with HW Support team to ensure data center infrastructure-related support tickets are resolvedWork with RMA team to ensure faulty parts are returned and replacements are orderedCreate installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centersServe 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 sitesYouHave 2+ 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 managementHave strong Linux administration experienceHave experience in setting up networking appliances (Ethernet and InfiniBand) across multiple data center locationsYou are someone who pays attention to detail and has the ability to follow instructionsYou are action-oriented and have a strong willingness to learnYou are willing to travel for bring up of new data center locationsNice to haveExperience with troubleshooting and theoretical knowledge the following network layers, technologies, and system protocols: TCP/IP, OSPF, SNMP, SSL, HTTP, FTP, SSH, Syslog, DHCP, DNS, RDP, NETBIOS, IP routing, Ethernet, switched Ethernet, 802.11x, NFS, and VLANsExperience with working in large-scale distributed data center environmentsExperience working with auditors to meet all compliance requirements (ISO/SOC)Experience Supermicro & Nvidia hardwareAbout LambdaWe offer generous cash & equity compensationInvestors include Gradient Ventures, Google's AI-focused venture fundWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOurresearch papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGWe have a wildly talented team of 200, and growing fastHealth, dental, and vision coverage for you and your dependents401k Plan with 2% company matchFlexible Paid Time Off Plan that we all actually useSalary Range Information Based on market data and other factors, the salary range for this position is $65,000-$115,000. 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.A Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
