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Lead Engineer - Data Center

Power Systems EngineeringConfirmed live in the last 24 hours

Full-timeMemphis, TN, USANo salary listed

About the Job

Requirements

A bachelor's degree in electrical engineering, computer engineering, physics, or another engineering discipline is required.
At least 10 years of electrical power design experience, focused on high-power, high-voltage, or mission-critical systems, is required.
Experience owning medium-voltage distribution architecture in the 10 kV to 35 kV class is required.
A Professional Engineering license or intention to actively seek one is preferred.
At least 5 years of experience in mission-critical, hyperscale, or heavy industrial facilities is preferred.
Experience with high-density AI compute and liquid-cooled deployments is preferred.
Experience delivering a repeatable design across multiple identical halls or phases is preferred.
Experience with power systems analysis software and tools, including ETAP, SKM, EasyPower, PowerWorld, Matlab, PSCAD, PSEE, or Simulink, is preferred.
Fluency in NEC, NFPA 70E, the IEEE 3000 series, and an internal reliability framework is preferred.
Experience building and leading an engineering team from the first hire is preferred.
Ability to lead teams and work independently in dynamic, high-stress environments with tight deadlines is preferred.
Ability to perform hands-on work in heat, cold, rain, tight quarters, and at heights is required.
Ability to work extended hours and weekends as needed for construction, energization, and operations is required.
Ability to remain focused in hazardous environments while wearing appropriate personal protective equipment is required.
Ability to lift up to 25 pounds unassisted is required.
Availability for 24/7 on-call emergency support is required.
Willingness to work on-site in Memphis, Tennessee, is required; the role is not remote or hybrid.
Willingness to travel up to 25% for factory witness testing, vendor and original equipment manufacturer engagement, and support of other sites is required.
A valid driver's license is required.

Responsibilities

Own the electrical architecture from the medium-voltage bus to the graphics processing unit rack, including topology, redundancy, and standards, for halls scaling with artificial intelligence compute load.
Set and defend the redundancy basis; validate split-feed and cross-feed schemes against bus-fault, transformer-loss, and switchgear-loss contingencies.
Establish the campus electrical design standard, including equipment tagging, drawing conventions, approved vendor lists, insulation coordination, grounding, and arc-flash boundaries.
Own the interface with the compute organization on rack density, step-load behavior, power-capping strategy, and actual-versus-nameplate utilization.
Own the interface with mechanical and cooling engineering on coolant distribution unit, sidecar, and pump electrical loads and their contribution to hall demand.
Lead design reviews with engineering, procurement, and construction firms, original equipment manufacturers, and owner's engineers; approve vendor drawings and factory acceptance test procedures.
Direct Design, Commissioning, Research and Development, Building Information Modeling/Designer, and Protection and Controls engineers on the Data Center team as those positions are filled.
Collaborate with Transmission and Distribution and Battery Storage leads so hall design, interconnection, and storage dispatch stay on one model of record.
Ensure compliance with NFPA 70, 70B, 70E, the National Electrical Safety Code, and IEEE standards, prioritizing safety and engineering excellence.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.