Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.
If you'd like to build the world's best deep learning cloud, join us.
*NOTE: This role will require travel to our data centers across the U.S.
What You'll Do
Lead, manage, and grow Lambda’s data center operations teams
Oversee the design, deployment, footprint expansion and daily operations across Lambda’s data center footprint
Lead capacity planning, vendor management and footprint expansion supporting Lambda’s S&OP plan for the next 6-18 months
Improve and establish processes and systems that boost the efficiency and overall performance of our data centers
Deploy Manufacturing Execution System (MES) in Lambda’s data centers to measure infrastructure performance in real-time, customer ticket closure, drive continuous improvement and ensure customer SLA’s are met
Develop plan on how we deploy new capex for data center infrastructure within 30 days at minimum
Ensure projects are delivered on time and roadblocks are quickly removed for the team
You
Proven track record in managing multi-site data centers
Led rapid data center capacity expansion and scaling projects
Are strategic, operationally excellent, and empathetic
Are focused on the impact of your team and the well-being of your team members
Excel at hiring, mentoring, and professional development
Nice To Have
Experience with data center networking
Experience with machine learning
Experience with high performance computing
Experience working in a startup environment
Upcoming projects
Deploying a new data center
Launching MES in a data center environment
About Lambda
We offer generous cash & equity compensation.
Investors include Gradient Ventures, Google’s AI-focused venture fund.
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.
We have a wildly talented team of 100, and are growing fast.
Our remote workforce, based on role, is across the U.S., with headquarters in San Francisco.
Health, dental, and vision coverage for you and your dependents.
Commuter/Work from home stipends.
401k Plan.
Flexible Paid Time Off Plan that we actually use
Salary Range Information
Based on market data and other factors, the salary range for this position is $195,000-$240,000. 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.
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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