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Data Center Manager (Dallas, TX)

Lambda

Data Center Manager (Dallas, TX)

Lambda

Dallas, TX - Data Center

·

On-site

·

Full-time

·

2w ago

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 Dallas, TX Data Center 5 days per week.

What You'll Do

  • Manage and lead a team of data center technicians

  • Maintain high availability, reliability, and security in the data center environment

  • 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

  • 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

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

  • Oversee deployments and day-to-day operations of the data center

  • Maintain uptime for assets and infrastructure, and ensure customer SLAs are met

  • Participate in technical discussions and provide expertise on data center integration and deployment strategies

  • Understand power/cooling requirements as well as cabling needs required within data center space to support high performance infrastructures.

  • Work closely with cross-functional teams, including Hardware Engineering, Software Engineering, Supply Chain, Customer Experience and Sales, to align data center solutions with business goals

  • Ensure the data center complies with Lambda’s standards and policies

You

  • Have 5+ 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 management

  • Have basic understanding of Linux administration

  • Have experience in setting up networking appliances (Ethernet and Infini Band) across multiple data center locations

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

  • Are action-oriented and have a strong willingness to learn

  • Have a desire to mentor other team members and help them reach their full potential

Nice to Have

  • Experience 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 VLANs

  • Experience with working in large-scale distributed data center environments

  • Experience working with auditors to meet all compliance requirements (ISO/SOC)

  • Experience Supermicro & Nvidia hardware

  • Previous data center team management experience

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

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 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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About Lambda

Lambda

Lambda

Series C

The Eidoloscope was an early motion picture system created by Eugene Augustin Lauste, Woodville Latham and his two sons through their business, the Lambda Company, in New York City in 1894 and 1895.

201-500

Employees

Austin

Headquarters

$6B

Valuation

Reviews

2.8

17 reviews

Work-life balance

3.2

Compensation

3.8

Culture

2.5

Career

2.3

Management

2.4

25%

Recommend to a friend

Pros

High compensation packages

Focus on decoupled services architecture

Agile development and quick deployment

Cons

Poor architectural patterns that feel like anti-patterns

Developer apathy and communication issues

Lack of formal training and development

Salary Ranges

27 data points

Mid/L4

Mid/L4 · Business Project Manager

1 reports

$104,000

total per year

Base

$90,605

Stock

-

Bonus

-

$104,000

$104,000

Interview experience

2 interviews

Difficulty

3.0

/ 5

Offer rate

50%

Experience

Positive 50%

Neutral 0%

Negative 50%

Interview process

1

Application Review

2

Coding Challenge/Assessment

3

Technical Interview

4

Hiring Manager Interview

5

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience