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oracle

Lead Principal Engineer for Data Center Architecture

Oracle
USA
Full-time
Lead · 3+ years experience
Onsite
Discovered 5 days ago
CommunicationOracle

Full Job Posting

Required Qualifications:

  • Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency.
  • Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.
  • Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability.
  • Experience with capacity planning and rack-power modeling for high-density AI infrastructure.
  • Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments.
  • Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve.
  • Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders.
  • Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams.

Qualifications

  • Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $146,300 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

Preferred Qualifications:

  • 8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment.
  • Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses.
  • Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization.
  • Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.
  • Experience evaluating multi-site deployment readiness and managing platform or capacity pivots.
  • Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.

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