Optical Engineer - Memphis

SpaceXAI

Southaven, Memphis (MS, TN)

On-site

USD 95,000 - 135,000

Full time

7 days ago
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Job summary

SpaceXAI’s Data Center Engineering team designs training and inference compute clusters, pushing optical systems to the limit of physics. You will own the physical optical layer of that computer: fiber layout, link design, optics selection, and production of a scalable plant for AI clusters.

Join a cross-disciplinary group of mechanical, electrical, optical, and software engineers focused on reliability, deployment speed, and manufacturability, with hands-on responsibilities in a fast-paced

Qualifications

  • Bachelor's degree in electrical, optical engineering, physics or related field.
  • 2+ years of experience in fiber layout, optical link design, and/or datacenter/HPC optical engineering.
  • Experience owning fiber/optical design installed in a datacenter or AI compute environment preferred.

Responsibilities

  • Own end-to-end optical and fiber design for AI training and inference fabrics, including cabling and architecture.
  • Write and verify link budgets for scale-out interconnects and related components.
  • Develop factory tests for optical interconnects and production-ready protocols.
  • Select and qualify optics, fiber, and connectivity; manage vendor bring-up and fleet reliability.
  • Deploy and verify end-to-end optical interconnects in the manufacturing line.
  • Lead commissioning and debugging, including measurements and defect analysis.
  • Advance connectivity toward higher speeds and density for AI clusters.
  • Collaborate with mechanical and network teams on structured cabling and rack design.

Skills

Fiber design
Optical link design
Datacenter/HPC experience
Willingness to work extended hours
Travel to sites

Education

Bachelor’s degree in Electrical/Optical Engineering

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 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
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