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3 дня назад

Senior/Staff Nanofabrication and Characterization Engineer (Nanophotonics)

160 000 - 190 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior/Staff Nanofabrication and Characterization Engineer (Nanophotonics): Building and characterizing prototype metasurface chips for an optical vector-matrix multiplication engine with an accent on nanoscale lithography, multilevel integration, and optical/electro-optic measurement. Focus on developing complete process flows, integrating tunable material layers, analyzing as-fabricated devices, and transferring processes to foundry partners.

Location: Austin, Texas, United States; full-time onsite

Salary: $160K–$190K annually plus equity

Company

hirify.global is an AI hardware startup developing silicon-photonic chips with programmable metasurfaces for energy-efficient optical vector-matrix multiplication and large-scale AI inference.

What you will do

  • Develop complete multistep nanofabrication process flows and travelers from metasurface designs.
  • Run electron-beam and optical/deep-UV lithography, thin-film deposition, etch, planarization, and multilayer integration.
  • Integrate tunable optical material layers, assemble and seal cells, and dice, mount, and wire-bond devices.
  • Inspect and cross-section devices using SEM, FIB, AFM, profilometry, and ellipsometry.
  • Characterize optical and electro-optic response, compare measurements with simulations, and identify process or design causes of performance gaps.
  • Manage university cleanroom access, tool scheduling, materials, run records, process transfer, and mentoring.

Requirements

  • MS or PhD in Electrical Engineering, Materials Science, Applied Physics, Optics, or a related field, with thesis or work focused on nanofabrication.
  • 3+ years of hands-on cleanroom experience fabricating nanophotonic, metasurface, plasmonic, MEMS, or semiconductor devices, including independent ownership of multistep process flows.
  • Direct experience with electron-beam lithography, multilayer alignment at sub-200 nm feature sizes, resist processing, dose control, and proximity correction.
  • Practical command of metal and dielectric deposition and dry etch, including recipe development for profile, selectivity, and uniformity.
  • Proficiency with SEM, AFM, ellipsometry, and profilometry; FIB cross-sectioning experience is strongly desired.
  • Experience measuring nanostructured devices using microscope-based reflection or transmission spectroscopy and polarization optics.
  • Proficiency in Python and/or MATLAB for process, image, and automated measurement analysis, plus KLayout or L-Edit for mask design.
  • Strong cleanroom safety practices with hazardous chemicals and gases, laser safety training, technical documentation, and collaboration with device, modeling, packaging, and facility teams.

Nice to have

  • Experience in university or shared-user nanofabrication facilities and qualifying new tools within shared schedules.
  • Damascene metallization, CMP, planarization, ALD liners, or multilevel interconnect-like stacks.
  • Experience with liquid crystals, electro-optic polymers, phase-change materials, alignment layers, or cell assembly.
  • Post-CMOS processing, heterogeneous integration, dicing, die attach, wire bonding, or electrical probing.
  • Nanophotonic or metasurface design using FDTD, FEM, or RCWA and simulation-to-layout workflows.
  • Statistical process control, design of experiments, yield analysis, or process transfer to commercial foundries.

Culture & Benefits

  • Full-time onsite work in Austin as part of a collaborative AI hardware startup.
  • 100% coverage of base health plan premiums for employees and dependents, plus HSA contributions.
  • Unlimited PTO and voluntary dental, vision, life, hospital, critical illness, and accident insurance.
  • 401(k) matching, stock option opportunities, and flexible personalized benefits.
  • Work on silicon photonics and programmable metasurface technology for energy-efficient AI inference.

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