Data Center Operations Systems Engineer (San Jose)

Lambda Labs; San Jose (CA); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Health, dental, vision

401k with company match

Flexible PTO

Wellness stipend

Job summary

Lambda Labs, The Superintelligence Cloud, seeks a hands-on Data Center Technician to join our San Jose team. You will rack, label, cable and configure new server, storage, and network equipment across multiple data centers.

You will troubleshoot hardware and software issues, document layouts in DCIM, and collaborate with supply chain, manufacturing, and the HW Support team to ensure deployments stay on schedule.

Qualifications

• Experience maintaining data center infrastructure.
• Fluent in English and Spanish.
• Willing to travel to new data center sites.
• Detail-oriented and able to follow instructions.

Responsibilities

• Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
• Troubleshoot hardware and software issues in advanced systems.
• Document data center layout and network topology in DCIM software.
• Collaborate with supply chain & manufacturing for timely deployments.
• Manage a parts depot inventory and track equipment through lifecycle stages.
• Work with HW Support to resolve infrastructure-related tickets.
• Coordinate with the RMA team to return faulty parts and order replacements.
• Follow installation standards and documentation for consistency across data centers.

Skills

Data center infrastructure

Power distribution

DCIM software

Cable management

Troubleshooting hardware

English and Spanish fluency

Travel willingness

Tools

DCIM software

JIRA

Zendesk

Job description

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 San Jose Data Centers 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 Fluent in English and Spanish
• 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

This is a salaried non-exempt role, eligible for overtime. 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.