What To Expect
We are looking for an experienced Datacenter Operations Manager to lead the reliable, efficient, and scalable operations of our hyperscale data centers supporting large-scale AI training and inference workloads. You will oversee high-density GPU/AI infrastructure, advanced power & cooling systems, and ensure maximum uptime, capacity readiness, and operational excellence in a fast-growing AI environment.
What You'll Do
Lead day-to-day operations of hyperscale data centers hosting AI/GPU clusters, ensuring high availability, performance, and safetyManage critical infrastructure including high-density power distribution, advanced cooling (air, liquid, immersion), rack density, and environmental controls optimized for AI workloadsDrive capacity planning, space/power/cooling forecasting, and rapid deployment support for AI infrastructure expansionOversee preventive/corrective maintenance, vendor management, and incident response to minimize downtimeImplement and improve operational processes, monitoring, automation, and DCIM tools for hyperscale efficiencyEnsure compliance with safety, security, environmental, and industry standards while driving energy efficiency and sustainability initiativesLead, mentor, and develop the onsite operations team; coordinate with engineering, networking, and AI platform teamsManage change control, risk assessments, and continuous improvement programs tailored to AI-driven demand
What You'll Bring
Bachelor’s Degree in Engineering, Computer Science, or related field, or equivalent experience7+ years in data center operations, with at least 3–5 years in hyperscale or large-scale environmentsStrong hands-on experience with high-density compute (GPU/AI clusters), power systems, and advanced cooling technologiesProven leadership of operations teams and vendor/contractor management in 24/7 critical facilitiesSolid understanding of data center best practices (Uptime Institute, TIA-942, or equivalent), capacity management, and incident managementExcellent problem-solving, communication, and stakeholder management skillsDirect experience supporting AI/ML infrastructure or hyperscale cloud providersFamiliarity with liquid cooling, high-performance networking, and DCIM/BMS systemsRelevant certifications (e.g., CDCP, ATD, PMP, or vendor-specific)Experience with automation, scripting, or sustainability/energy optimization programs
Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Medical plans > plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D Short-term and long-term disability insurance (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program
, Tesla
