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Salary
≈ $110k – $198k per year (Estimated)
Location
In office (Memphis)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 2, 2026. xAI scores A on the Alion truth index.

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xAI

xAI is an American artificial intelligence company founded by Elon Musk in 2023 with the stated goal of building models that help humans understand the universe. It develops the Grok family of large language models, distributes them through a consumer assistant, a developer API and deep integration with the X social platform, and adds image and video generation through Grok Imagine. The company runs its own Colossus supercomputer clusters in Memphis, Tennessee, is headquartered in Palo Alto, California, and merged with X Corp in 2025 to combine model development with a large consumer distribution channel.

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 understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (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.

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 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 an Optical Engineer, you will own the physical optical layer of that computer: fiber layout, link design, connector and polarity architecture, optics selection, and production of a plant that can be built, tested, and repaired at AI cluster scale.

RESPONSIBILITIES:

  • Own end-to-end optical and fiber design for AI training and inference fabrics: fiber cabling, cassette/panel architecture, polarity, breakout, reach, and connector strategy (MPO-12/16, SN, MDC, LC, OSFP / QSFP-DD)
  • Write and verify link budgets for scale-out and scale-up interconnect (SMF/MMF, AOC/DAC, DR/FR/LR, InfiniBand and Ethernet), including loss, reflections, FEC, and realistic install margins
  • Develop and implement factory tests for optical interconnects including insertion loss, return loss, and polarization
  • Select and qualify optics, fiber, and connectivity (transceivers, patch, trunks, cassettes, harnesses); own vendor bring-up, failure analysis, and fleet reliability of the optical layer
  • Deploy and verify end-to-end optical interconnect into the manufacturing line
  • Lead commissioning and debug: inspect/clean, power meter, OTDR, BER/FEC stats, and volume failure modes (dirty connectors, wrong polarity, wrong map, damaged end-face)
  • Evolve connectivity toward the next speed and density (800G / 1.6T, CPO/NPO awareness, tighter reaches, higher fiber count per rack)
  •  Work with mechanical and network teams to design structured cabling and raceways with the rack and facilities teams: tray fill, bend radius, pre-term vs field-term, labeling, and a plant that can be built and repaired at hall scale

BASIC QUALIFICATIONS:

  • Bachelor’s degree in electrical engineering, optical engineering, physics, or a related engineering discipline
  • 2+ years of professional experience in fiber layout, optical link design, and/or datacenter/HPC optical engineering

PREFERRED SKILLS AND EXPERIENCE:

  • Demonstrated ownership of fiber or optical design that was installed and turned up in a datacenter, HPC, or AI-compute environment
  • Working command of single-mode vs multimode, MPO polarity, insertion/return loss, and 100G+ transceiver classes
  • Hands-on optical test: inspect/clean, power meter, OTDR or equivalent
  • Fiber interconnect ownership for AI / high-compute clusters (GPU scale-out fabric, InfiniBand NDR/XDR, RoCE Ethernet 400/800G)
  • High-density pre-terminated trunk/cassette design and rack-to-spine optical mapping at hall scale
  • Optics vendor qualification at volume (OSFP, 800G DR8/2xFR4, AOCs, and the failure modes that show up in a real fleet)
  • Experience designing optical harnesses or cassettes for a manufacturing line, including test coverage and yield
  • DWDM / campus DCI for cluster-to-cluster or building-to-building connectivity
  • Familiarity with CPO/NPO, linear-drive optics, and next-gen packaging as it hits the rack
  • Time at a high-velocity AI cloud, GPU cloud, or custom-compute hardware team

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 work in active datacenter and factory environments, including fiber inspection, cleaning, and live debug

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

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