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Neurophos

Optical metasurface AI accelerators

Staff Optomechanical Design Engineer - Free-Space Optical

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

About the Job

Requirements

  • A Master of Science or PhD in Mechanical Engineering, Optical Engineering, Physics, or a related field, or a Bachelor of Science with equivalent industry experience.
  • At least 8 years of hands-on optomechanical design experience with precision free-space optical systems, including taking at least one system from concept through qualification and into production.
  • Demonstrated experience designing mounts and subassemblies that maintain sub-micron and microradian alignment, including kinematic mounts, flexures, and bonded optics.
  • Hands-on experience supporting active alignment.
  • Hands-on experience with optical metrology and designing fixtures for it.
  • Proficiency in 3D CAD, such as SolidWorks or Creo, and geometric dimensioning and tolerancing; working knowledge of finite element analysis for thermal and structural analysis.
  • Ability to read an optical prescription.
  • Knowledge of materials, adhesives, and thermal behavior for optomechanical stability.
  • Ability to explain tolerance trade-offs and risk to optical, photonics, manufacturing, and executive audiences.
  • Comfort using artificial intelligence tools in day-to-day engineering work.

Responsibilities

  • Design the mechanical hardware for the OPU’s free-space optical assemblies, including collimators, relay and imaging optics, and polarization optics.
  • Translate optical prescriptions into mechanical architectures, including datums, kinematic and flexure mounts, and bonded and monolithic subassemblies, that maintain precision across temperature and over the product’s life.
  • Lead optomechanical tolerance analysis using root-sum-square and Monte Carlo methods in collaboration with optical design.
  • Select materials, adhesives, and joining processes for thermal and long-term stability, and support thermal and structural finite element analysis and structural-thermal-optical-performance analysis to predict alignment drift.
  • Produce computer-aided design models, geometric dimensioning and tolerancing drawings, and assembly documentation; qualify precision optics and mechanical vendors.
  • Design mechanical hardware for metrology stations, including fixtures, datums, kinematic part holders, and reference artifacts for interferometry, autocollimation, beam profiling, camera-based spot and pitch measurement, wavefront sensing, and fiber-array and microlens-array position measurement.
  • Support development of active-alignment systems and processes.
  • Provide mechanical design and integration for multi-axis alignment stations, including hexapods, nanopositioners, and machine vision, and support station bring-up with alignment and software engineers.
  • Build prototypes in the lab and provide fixtures, drawings, and work instructions to transfer processes to in-house technicians, assembly partners, and contract manufacturers.
  • Drive design for manufacturability and design for assembly to reduce alignment steps, degrees of freedom, and cycle time as designs mature from prototype to volume production.
  • Represent free-space optomechanics in design reviews, own relevant sections of system requirements, and communicate status and risk to engineering and executive audiences.
  • Mentor engineers and technicians.

Desired Qualifications

  • Experience supporting automated alignment stations, including hexapods, piezo nanopositioners, and machine vision, and scripting alignment or measurement routines in Python or LabVIEW.
  • Experience transferring alignment and assembly processes to contract manufacturers, including writing work instructions and acceptance criteria and supporting yield ramp.
  • 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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