Sr. Manager, Engineering

We are seeking an exceptional Sr. Manager, Engineering to lead physical infrastructure engineering for xAI's hyperscale AI compute facilities. This role will oversee the design, development, and optimization of critical systems including structural, civil, architectural, controls, electrical, mechanical, HVAC, liquid cooling, power distribution, fiber optic networks, and related infrastructure that power our rapidly expanding supercomputing clusters.

You will build and lead a world-class multidisciplinary engineering team while driving technical strategy for new builds, expansions, and continuous improvement of mission-critical facilities. This high-impact position requires deep expertise in data center or industrial-scale infrastructure, a bias for rapid execution, and the ability to deliver reliable, high-density, energy-efficient systems at unprecedented scale.

Responsibilities:

• Lead the end-to-end engineering of physical infrastructure for xAI data centers and compute facilities, including structural and civil engineering (foundations, seismic design, site development, underground utilities), architectural engineering (facility layout, aesthetics, code compliance, and buildability), electrical systems (high-voltage, switchgear, UPS, generators, redundancy topologies), mechanical systems (HVAC, liquid cooling, chillers, CRAC/CRAH), controls & automation (BMS, SCADA, PLCs, monitoring), and high-capacity fiber optic networks (backbone, interconnects, and data hall connectivity).

• Build, mentor, and grow a high-performing multidisciplinary engineering team covering structural, civil, architectural, controls, electrical, mechanical, fiber infrastructure, and related disciplines.

• Develop and own technical standards, design guidelines, and best practices for power density, thermal management, structural integrity, seismic resilience, fiber performance and redundancy, uptime (targeting 99.999%+), efficiency (PUE/WUE optimization), and scalability to support massive GPU/accelerator clusters.

• Partner closely with construction, operations, procurement, and AI hardware teams to ensure seamless integration from design through commissioning, startup, and handover.

• Drive innovation in areas such as advanced liquid cooling, high-efficiency power delivery, intelligent controls, sustainable materials and design, optimized facility layouts, and high-bandwidth, low-latency fiber infrastructure to meet the extreme demands of next-generation AI training.

• Manage engineering budgets, schedules, risk assessments, and vendor relationships (OEMs, EPC firms, consultants, fiber providers) while maintaining aggressive timelines in a fast-paced environment.

• Enforce rigorous safety, quality, compliance, and reliability standards, including seismic design, structural integrity, redundancy requirements (N+1, 2N, etc.), architectural code compliance, fiber network resilience, and regulatory adherence.

• Provide technical leadership and regular updates to senior leadership on infrastructure roadmaps, performance metrics, lessons learned, and strategic recommendations.