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Neurophos

Optical metasurface AI accelerators

Principal Optical Engineer - Optical Metrology

Hardware Validation & TestingPosted on Nov 10
Full-timeAustin, TX, USA

About the Job

Requirements

  • A PhD or M.S. in Optical Sciences, Optical Engineering, Physics, or a related field is required; a PhD is preferred.
  • At least 10 years of hands-on optical metrology and test experience, including building measurement capability for precision optical products from development through production.
  • Deep expertise in interferometry, wavefront sensing, and image-quality measurement, including modulation transfer function, point spread function, and distortion, plus working knowledge of polarimetry and radiometry.
  • A track record of designing custom test stations, including their optics, mechanics, calibration, and software, and quantifying their measurement uncertainty.
  • Strong grounding in physical and Fourier optics, aberration theory, and Gaussian beam propagation.
  • Proficiency in Python or MATLAB for instrument control, image processing, and data analysis.
  • Working knowledge of an optical design tool such as Zemax OpticStudio, CODE V, or an equivalent, to model test setups and relate measurements to tolerances.
  • Ability to explain measurement results and their limits to design, manufacturing, supplier, and executive audiences.
  • Comfort using AI tools in day-to-day engineering work.

Responsibilities

  • Define the optical metrology roadmap across research and development, prototype builds, and volume production, specifying what is measured at each stage, by which method, and to what uncertainty.
  • Flow system-level optical requirements and tolerance budgets down to measurable component and assembly specifications with optical design and optomechanics.
  • Decide which metrology capabilities to build in-house, buy, or source from suppliers and test labs.
  • Design, build, and validate optical test stations for interferometry, wavefront sensing, modulation transfer function and point spread function measurement, beam profiling, polarimetry, spectral transmission and reflectance, scatter, and stray light.
  • Develop custom measurement methods for microlens arrays, including lenslet-by-lenslet focal length, wavefront, and pointing measurements.
  • Develop camera-based metrology for spot position, pitch, distortion, and registration across large fields of beams or pixels.
  • Specify and procure commercial instruments, and lead the design of custom optics, reference artifacts, and software for each station.
  • Establish measurement uncertainty budgets, calibration, traceability, gauge repeatability and reproducibility, and correlation between stations, suppliers, and simulation.
  • Build the data pipeline and analysis tools that turn raw measurements into pass/fail results, trends, and feedback to optical and tolerance models.
  • Define incoming-inspection methods and acceptance criteria for precision optics, and correlate measurements with suppliers.
  • Transfer test methods and stations to assembly partners and contract manufacturers, and support yield analysis and failure root-cause analysis.
  • Act as the company’s authority on optical measurement in design reviews and supplier qualifications.
  • Communicate measurement results, risk, and capability gaps to engineering and executive audiences.
  • Hire, lead, and mentor metrology engineers and technicians as the team grows.

Desired Qualifications

  • Experience with infrared metrology, including infrared cameras.
  • Experience supporting active alignment, including choosing alignment metrics and verifying aligned assemblies.
  • Experience setting up production testing and incoming inspection with contract manufacturers and optics suppliers, including statistical process control.
  • Experience with near-field and far-field fiber-mode measurement and coupling-efficiency testing.
  • Experience in a startup or early-stage hardware team where building the lab as well as the product is part of the work.

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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