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Neurophos

Optical metasurface AI accelerators

Principal Optical Engineer - Active Alignment

Hardware EngineeringPosted on Nov 10
Full-timeAustin, TX, USA

About the Job

Requirements

  • A PhD or MS in Optics, Physics, Electrical Engineering, Mechanical Engineering, or a related field is required.
  • At least 10 years of experience developing active-alignment processes for photonic or optical assemblies, including taking at least one process into volume production.
  • Hands-on experience aligning fibers, fiber arrays, and micro-optics to photonic chips, lenses, or detectors with sub-micron precision is required.
  • Strong understanding of Gaussian beam optics, mode coupling, alignment tolerances, and sensitivities is required.
  • Experience with UV- and thermal-cure adhesives, bonding processes, and cure-shift control is required.
  • Experience specifying and using hexapods, precision motion systems, and machine vision is required.
  • Programming skills in Python, C#, or LabVIEW for instrument control, automation, and data analysis are required.
  • A track record of transferring processes to contract manufacturers and suppliers is required.
  • Comfort using AI tools in day-to-day engineering work is required.

Responsibilities

  • Own the active-alignment strategy for free-space and fiber-coupled optical processing unit sub-assemblies, including degrees of freedom, alignment sequence, datums, and the feedback signal for each step.
  • Translate optical tolerance budgets into alignment requirements, capture ranges, and pass/fail criteria in collaboration with optical design and optomechanical engineering.
  • Develop alignment algorithms for coarse search, gradient and hill-climb optimization, multi-axis merit functions, and simultaneous alignment of many channels.
  • Develop bonding processes, including adhesive selection, bond-line control, UV and thermal cure, cure-shift prediction and pre-compensation, and post-bond stability.
  • Specify, build, or source active-alignment stations, including hexapods and precision stages, machine vision, power- and image-based feedback, dispensing, and curing equipment.
  • Develop and maintain alignment and station-control software, with data logging for process and yield analysis.
  • Qualify stations for accuracy, repeatability, cycle time, and throughput.
  • Transfer alignment processes to contract manufacturers and component suppliers; write process specifications, work instructions, and acceptance criteria.
  • Drive yield, cycle time, and cost from prototype through low-rate initial production; lead root-cause analysis and corrective action on alignment failures.
  • Qualify aligned assemblies through thermal cycling, shock, vibration, and long-term stability testing.
  • Mentor engineers and technicians across optics, optomechanics, and manufacturing.

Desired Qualifications

  • Experience with commercial active-alignment platforms and their software environments is preferred.
  • Experience with design of experiments, statistical process control, and yield modeling is preferred.
  • Experience with wafer-level or panel-level alignment and bonding is preferred.

About the Company

Neurophos

Optical metasurface AI accelerators

Neurophos designs AI accelerator chips built with optical metasurfaces and silicon photonics to deliver high-density, energy-efficient AI computation for data centers. Its processors are designed to shrink optical components by about 8000x, increasing compute power per dollar spent and reducing both capital and operating expenditures. The product works by using optical processing techniques that handle AI inference workloads more efficiently than traditional GPUs or electronic AI accelerators, enabling faster throughput with lower power use. Neurophos differentiates itself by combining optical metasurfaces with silicon photonics to achieve higher density and energy efficiency, targeting data centers and enterprises that need scalable, cost-sensitive AI inference. The company aims to reshape the AI landscape by offering faster, denser, and more energy-efficient AI computation while lowering the total cost of ownership for data centers.

Company size
51-200
Company stage
Series A
Total funding
$117.2M
Headquarters
Austin, TX
Founded
2020

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