Data Center Strategy - Facility Engineering at Lambda

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

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

About the Job

Join our Data Center Infrastructure Services team as a Data Center Strategist, where you will play a pivotal role in shaping the future of our facilities. Reporting directly to the Vice President of Infrastructure, you will be instrumental in defining and executing strategies that shape the future of our facilities. Leverage your deep expertise in data center construction and operations to optimize our portfolio, drive cost-saving initiatives, and establish best practices across both existing facilities and new builds.

What You'll Do

1. Strategic Leadership & Advisory: Collaborate with the VP of Infrastructure and senior leadership to steer data center strategies. Provide technical insights on emerging technologies, building designs, and retrofitting projects to ensure our facilities remain future-ready.

2. Data Center Evaluation & Vendor Collaboration: Assess new data centers for compliance with our operational standards. Work closely with providers to optimize power distribution, resource allocation, and overall efficiency.

3. Infrastructure Design & Lifecycle Management: Lead the design, deployment, and continuous optimization of data center infrastructure—focusing on power distribution, cooling systems, and environmental controls. Ensure all technology deployments are right-sized and comprehensively documented.

4. Operational Excellence & Troubleshooting: Champion best practices for maintainability and system performance. Provide expert troubleshooting support, lead after-action reviews, and implement remediation processes to drive continuous improvement.

5. Customer Engagement & Thought Leadership: Serve as a customer-facing expert in data center technology, offering technical guidance and representing Lambda’s expertise to both internal and external stakeholders.

6. Travel & Location: This role requires a willingness to travel up to 50%. It is ideally based in the Bay Area (SF or SJC), with remote work options available for the right candidate.

You

1. Extensive Industry Experience: Over 15 years in hyperscale data center environments, with a robust background in operating, designing, deploying, and optimizing critical infrastructure.

2. Technical Expertise: Advanced proficiency in electrical and mechanical infrastructure for high-power compute environments, including cooling systems, power distribution, emergency backup systems, and BMS.

3. Operational Excellence: Proven success in implementing operational controls across multiple data center sites, particularly within large-scale campus and distributed portfolio models.

4. Software Proficiency: Skilled in AutoCAD, BIM360, Revit, or other electrical/mechanical design and simulation tools.

5. Project Leadership: Demonstrated ability to lead complex, multidisciplinary projects, ensuring initiatives are driven to completion under tight timelines.

6. Attention to Detail & Continuous Improvement: Highly detail-oriented, with a strong commitment to established procedures and a passion for ongoing professional development.

7. Travel Flexibility: Willing to travel as needed for the setup and optimization of new data center locations, up to 50%.

8. Educational Background: Holds a BS or MS in Electrical or Mechanical Engineering, or possesses equivalent professional experience.

Nice to have

1. Experience in data center commissioning and creating circuit coordination studies.

2. A track record of collaborating with auditors to ensure compliance with industry standards.

3. Prior leadership or managerial experience within a data center engineering and operations team.

4. Strong negotiation skills for design, build, and operations of data center spaces.

Salary Range Information

Based on market data and other factors, the salary range for this position is $270,000-$404,000. 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.

About Lambda

• Founded in 2012, ~350 employees (2024) and growing fast.

• We offer generous cash & equity compensation.

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

• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability.

• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.

• Health, dental, and vision coverage for you and your dependents.

• Commuter/Work from home 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.