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Sobre este puesto de Data Center Operations System Engineer (Salt Lake City) en Lambda

Lambda · Presencial · Bluffdale, UT - Data Center

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 Salt Lake City Data Center 5 days; shift work


What You'll Do

  • Ensure all new server, storage, and network infrastructure is properly racked, labeled, cabled, and configured in accordance with organizational standards.

  • Diagnose and resolve complex hardware and software issues across advanced enterprise systems.

  • Maintain comprehensive documentation of data center layouts and network topologies within DCIM software.

  • Collaborate with supply chain and manufacturing teams to facilitate the timely deployment of systems and execute project plans for large-scale initiatives.

  • Oversee parts depot inventory and track equipment across the complete lifecycle—delivery, storage, staging, deployment, and handoff—within each data center facility.

  • Partner closely with the Hardware Support team to ensure prompt resolution of data center infrastructure support tickets.

  • Coordinate with the RMA team to ensure defective components are returned and replacements are ordered efficiently.

  • Adhere to established installation standards and documentation regarding placement, labeling, and cabling to maintain consistency and operational discoverability across all facilities.

You

  • Familiarity with critical data center infrastructure systems, including power distribution, airflow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management.

  • Professional fluency in both English and Spanish.

  • High attention to detail and a proven ability to follow complex technical instructions precisely.

  • Proactive work ethic with a strong commitment to continuous professional development.

  • Willingness to travel to support the initialization and turn-up of new data center locations.

Nice to Have

  • Prior experience troubleshooting enterprise server hardware.

  • Demonstrated knowledge of network topology and architecture.

  • Familiarity with enterprise ticketing platforms, such as JIRA and Zendesk.

  • Hands-on experience with Linux system administration.

  • Experience working within large-scale, distributed data center environments.

  • Technical experience with Supermicro and Nvidia hardware infrastructure.

Salary Range Information

The annual base salary range for this position has been established using market data and key organizational factors. Final compensation offers may vary above or below this range depending on an individual candidate's unique qualifications, relevant experience, and specialized expertise relative to the requirements outlined in the position 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.

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