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AI Job Summary

You'll own rack design for high-density AI compute systems, from initial concept through production, managing mechanical structure, power distribution, cooling integration, and manufacturability. You need a bachelor's degree in mechanical or aerospace engineering and 2+ years designing electromechanical hardware that shipped to production. Strong CAD skills, experience with liquid cooling and high-power electrical systems, and familiarity with HPC/GPU rack design are essential. The role is based in Memphis and requires willingness to travel to manufacturing and datacenter sites and work extended hours during design releases and deployments.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

The Data Center Engineering team designs training and inference compute clusters from first principles, pushing thermal, electrical, and optical systems to the limit of physics. We operate as a highly cross disciplinary team comprised of mechanical, electrical, optical, and software engineers, all working to maximize the efficiency, reliability, and deployment speed of terrestrial computing to serve rapidly scaling demand.

This team owns compute architecture, datacenter network design, rack builds, connectivity, in-house design of our own computers, and the manufacturing line that builds that compute. As a Rack Design Engineer, you will own the rack as a product: structure, power, cooling, service paths, and the physical integration of servers, switches, optics, and liquid cooling from first sketch through production rate.

RESPONSIBILITIES:

  • Own mechanical, structural, and integration design of high-density AI compute racks and associated chassis, frames, busbars, manifolds, and cable/fiber raceways
  • Integrate compute, networking, power distribution, and liquid cooling into a buildable, serviceable, high-yield rack architecture
  • Design for the in-house manufacturing line: DFM/DFA, fixtures, work instructions, incoming inspection, first article, and production ramp
  • Close thermal, structural, and power constraints with cooling, electrical, optical, and network counterparts at the cluster level (CDUs, cold plates, quick disconnects, PDUs/busbars, high-current distribution, tray and bend-radius limits)
  • Drive vendor and in-house parts from concept to qualified production, including sheet metal, extrusions, busbar, manifolds, cable management, and rack accessories
  • Stand on the floor during prototype and production builds: debug fit, leak, cable dress, airflow/liquid balance, and service time; fold issues into the next revision the same day
  • Produce and maintain CAD, BOMs, drawings, and build documentation that a line can run at volume
  • Support cluster deployment of the racks you design, including first-site bring-up and feedback into the next hardware generation
  • Partner with network, optical, electrical, and firmware teams to deploy custom compute for inference and training across SpaceX programs

BASIC QUALIFICATIONS:

  • Bachelor’s degree in mechanical engineering, aerospace engineering, or a related engineering discipline
  • 2+ years of professional experience designing electromechanical hardware that was built and shipped (internship and project experience counts toward this if the hardware was physically produced)

PREFERRED SKILLS AND EXPERIENCE:

  • Ownership of rack, chassis, or similarly dense electromechanical products through prototype and production
  • Experience or background in ethernet switching, networking, interconnects, and high power distribution
  • CAD fluency in SolidWorks, Creo, or NX, with released drawings a shop and a factory can build from
  • AI / HPC / GPU rack design: NVIDIA HGX/GB-class, custom OCP, or equivalent high-power liquid-cooled compute
  • Liquid cooling design: cold plates, manifolds, CDUs, quick disconnects, leak detection, and coolant compatibility
  • High-power rack electrical integration: busbar, PDU, 48V, high-current 3-phase, grounding, and service safety
  • Cable and fiber physical design inside the rack (MPO/OSFP dress, bend radius, service loops) in partnership with optical and network engineers
  • Experience taking a rack from NPI onto an in-house manufacturing line (fixtures, cycle time, poka-yoke, rework loops)
  • Thermal and structural analysis (CFD, FEA) used to make a design decision
  • Time at a high-velocity hardware organization: AI/GPU cloud, custom compute, or an OEM/ODM team that owned the product end to end
  • Comfort in a factory or datacenter build environment, including first articles, yield, and hardware debug on the floor

ADDITIONAL REQUIREMENTS:

  • Must be willing to work extended hours and weekends as needed to support design releases, line bring-up, and cluster deployments
  • Must be willing to travel to manufacturing and datacenter sites
  • Ability to lift up to 25 lbs. unassisted and work around active factory and datacenter hardware

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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  • Role Rack Design Engineer (Data Center) - Memphis
  • Experience 3-4 years
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
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xAI
Foundation Models · 500+ Members · Palo Alto, CA, United States

xAI develops Grok, a family of large language models, and builds the large-scale training and inference infrastructure behind them, including the Colossus supercomputing cluster.

Founded in 2023, the company focuses on frontier model research and deployment across the X platform and its own products.

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Job Overview

Approx. salary range

152K – 303K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 25 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree
Experience
3-4 years

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