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  7. Data Center Operations System Engineer - Plano, TX
Lambda logo

Data Center Operations System Engineer - Plano, TX

Lambda·, United States
Full-timerotating

Salary

$89k–$119k/ annually

Posted 1 day ago

Application completed on Lambda

About This Role

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Plano, TX Data Center 5 days; shift work

What You'll Do

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

Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers

You

Are familiar 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

Are someone who pays attention to detail and has the ability to follow instructions

Are action-oriented and have a strong willingness to learn

Are willing to travel for bring up of new data center locations

Nice to Have

Experience with troubleshooting server hardware

Experience with/or knowledge of network topology

Familiarity with ticketing systems like JIRA and Zendesk

Experience with Linux administration

Experience with working in large-scale distributed data center environments

Experience with Supermicro & Nvidia hardware

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. 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.

About Lambda

Founded in 2012, with 500+ employees, and growing fast

Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

Our values are publicly available: https://lambda.ai/careers

We offer generous cash & equity compensation

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

Equal Opportunity Employer

Lambda 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.

Required Skills

Data center operationsServer hardwareNetwork infrastructureHardware troubleshootingSoftware troubleshootingDCIM softwareStructured cablingInventory managementLinux administrationJiraZendeskPower distributionAir flow managementCapacity planningNvidia hardwareSupermicro hardware

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Quick Facts

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Category
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