Senior/Staff Nanofabrication and Characterization Engineer

Posted 19 Hours Ago
Be an Early Applicant
Austin, TX, USA
In-Office
160K-190K Annually
Senior level
Artificial Intelligence • Machine Learning • Semiconductor
We’re building the first programmable light-speed computer.
The Role
Develops and owns nanofabrication processes for prototype metasurface chips, including multilayer lithography, deposition, etching, planarization, active-layer integration, packaging, and metrology. Characterizes optical and electro-optic device performance, analyzes process data, manages university cleanroom runs, documents recipes and travelers, and feeds as-built measurements into design and modeling. The role also supports mask layout, process transfer to foundries, yield improvement, and mentoring of cleanroom personnel.
Summary Generated by Built In
About Neurophos

The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck means rethinking the fundamental architecture of inference compute. The industry's current path can't meet the need, so we're taking a different approach.

Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference.

We’ve assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft’s Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.

Join us and shape the future of computing!

Location: Austin, TX. Full-time onsite position.

Reports To: Chief Scientist

FLSA Status: Exempt

 
Position Overview

We are seeking a hands-on Nanofabrication and Characterization Engineer to build and characterize prototype metasurface chips for our optical vector-matrix multiplication (OVMM) engine. Prototypes made in university cleanrooms let us try new metasurface designs, materials, and process changes in weeks rather than waiting on a full foundry cycle. This role owns that fast path: you will turn electromagnetic designs into masks and process flows, fabricate multilevel metal–dielectric nanostructures, integrate the active tunable layer and package the device, and measure what you built so every run teaches us something.

You will spend most of your time in shared-user university nanofabrication facilities and in our own lab: running lithography, deposition, etch, and planarization steps, inspecting and cross-sectioning devices, and measuring their optical and electro-optic response. The rest of your time goes to process documentation, run tracking, and data analysis. If you combine strong cleanroom process skills with the drive to test your own devices, this role will let you own the metasurface prototyping line, from design to measured device.

 
Key Responsibilities
  • Process Flow Development: Turn metasurface designs into complete, multi-step process flows and travelers. Select lithography, deposition, etch, and planarization steps that meet target dimensions and tolerances with the tools at hand.

  • Nanoscale Lithography: Pattern sub-200 nm features and align multiple layers using electron-beam lithography and optical or deep-UV steppers. Develop and maintain dose, proximity-correction, and resist recipes.

  • Thin-Film Deposition and Etch: Deposit and etch metals, dielectrics, and thin conformal liners (sputtering, evaporation, PECVD, ALD, RIE/ICP). Control thickness, sidewall profile, and aspect ratio to nanometer-level tolerances.

  • Multilevel Integration: Build stacked metal–dielectric structures with vias and planarization (CMP, damascene, or lift-off). Diagnose and fix yield problems that arise between layers: misalignment, dishing, voids, and adhesion.

  • Active Layer and Device Assembly: Integrate the electro-optically tunable material layer, including surface preparation, alignment and encapsulation layers, cell assembly, and sealing. Dice, mount, and wire-bond devices for testing.

  • Process Metrology: Inspect every run with SEM, FIB cross-sections, AFM, profilometry, and ellipsometry. Feed measured dimensions back into the design so it models the as-built device.

  • Optical and Electro-Optic Characterization: Measure the reflectance, spectra, polarization response, and voltage-dependent tuning of finished devices on microscope-based optical benches. Compare results against simulation and trace gaps to specific design or process causes.

  • Facility and Run Management: Hold access and training at university cleanroom facilities, schedule tool time, manage materials and consumables, and maintain a steady run cadence with clear records of what was built and why.

Secondary Responsibilities

  • Design metasurface unit cells and arrays using full-wave electromagnetic simulation in partnership with the modeling team, set geometries and tolerances based on what the process can produce, and generate mask layouts.

  • Maintain process recipes, travelers, run logs, and characterization reports so that any run can be repeated and audited.

  • Supply the modeling and design teams with as-fabricated dimensions, material properties, and process tolerances that set design rules for future layouts.

  • Flag to the Architecture & Requirements team any design feature or tolerance that measured process data shows is unachievable or high-risk.

  • Help transfer processes and lessons learned to foundry partners, and compare foundry-built and prototype devices.

  • Mentor engineers and technicians in cleanroom practice, process safety, and metrology.

 
Qualifications
  • Degree: MS or PhD in Electrical Engineering, Materials Science, Applied Physics, Optics, or a closely related field, with a thesis or work centered on nanofabrication.

  • Experience: 3+ years of hands-on cleanroom experience fabricating nanophotonic, metasurface, plasmonic, MEMS, or semiconductor devices, including independent ownership of multi-step process flows.

  • Nanolithography: Direct experience with electron-beam lithography and multilayer alignment at sub-200 nm feature sizes, including resist processing and dose and proximity correction.

  • Deposition and Etch: Practical command of metal and dielectric deposition and dry etch, including recipe development for profile, selectivity, and uniformity.

  • Metrology: Proficiency with SEM, AFM, ellipsometry, and profilometry; FIB cross-sectioning experience strongly desired.

  • Optical Characterization: Experience measuring the optical response of nanostructured devices with microscope-based reflection or transmission spectroscopy and polarization optics.

  • Software for Analysis: Proficiency in Python (and/or MATLAB) for process data analysis, image analysis, and automated measurement, plus layout tools such as KLayout or L-Edit for mask design.

  • Safety: Strong cleanroom safety practices with hazardous chemicals and gases, and laser safety training for optical bench work.

  • Communication: Clear technical documentation and strong collaboration with device designers, modeling engineers, packaging engineers, and facility staff.

 
Preferred Skills
  • Experience in a university or shared-user nanofabrication facility, including quickly qualifying new tools and working within shared tool schedules.

  • Damascene metallization, CMP, or other planarization processes for multilevel interconnect-like stacks.

  • Atomic layer deposition of conformal dielectric or metal-nitride liners in high-aspect-ratio features.

  • Experience with liquid crystals, electro-optic polymers, phase-change materials, or other tunable optical materials, including alignment layers and cell assembly.

  • Post-CMOS processing or heterogeneous integration on foundry wafers or dies.

  • Dicing, die attach, wire bonding, and electrical probing of fabricated devices.

  • Nanophotonic or metasurface design experience with full-wave electromagnetic simulation (FDTD, FEM, RCWA) and simulation-to-layout workflows. This is the path to owning the full design-to-characterization cycle.

  • Statistical process control, design of experiments, and yield analysis across wafers and runs.

  • Experience transferring a process to a commercial foundry or working with foundry design rules.

What We Offer

This is an opportunity to play a pivotal role in an innovative startup redefining the future of AI hardware. Work on game-changing technology at the intersection of photonics and AI as part of a collaborative, brilliant team. You’ll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Come help us bring this transformative technology to the world.

 
Benefits

Join a team that invests in your future and your well-being. At Neurophos, we offer:

  • 100% coverage of base health plan premiums for you and your dependents, plus HSA contributions.

  • Unlimited PTO. No rigid vacation banks, just a focus on delivery.

  • 401(k) matching and stock option opportunities to ensure our success is your success.

  • Full suite of voluntary benefits, including Dental, Vision, Life, Hospital, Critical Illness, and Accident insurance.

  • Personalized Benefits. Choose the plans that fit your life and take the cash back for those that don’t.

Skills Required

  • MS or PhD in Electrical Engineering, Materials Science, Applied Physics, Optics, or a closely related field, with thesis or work centered on nanofabrication
  • 3+ years of hands-on cleanroom experience fabricating nanophotonic, metasurface, plasmonic, MEMS, or semiconductor devices
  • Independent ownership of multi-step nanofabrication process flows
  • Direct experience with electron-beam lithography and multilayer alignment at sub-200 nm feature sizes
  • Experience with resist processing, dose control, and proximity-effect correction
  • Practical command of metal and dielectric deposition and dry etching
  • Recipe development for etch profile, selectivity, and uniformity
  • Proficiency with SEM, AFM, ellipsometry, and profilometry
  • Experience with microscope-based reflection or transmission spectroscopy and polarization optics
  • Proficiency in Python and/or MATLAB for process data analysis, image analysis, and automated measurement
  • Experience with KLayout or L-Edit for mask design
  • Strong cleanroom safety practices with hazardous chemicals and gases
  • Laser safety training for optical bench work
  • Clear technical documentation and collaboration with multidisciplinary engineering and facility teams
  • FIB cross-sectioning experience
  • Experience in a university or shared-user nanofabrication facility
  • Damascene metallization, CMP, or other planarization processes
  • Atomic layer deposition of conformal dielectric or metal-nitride liners
  • Experience with liquid crystals, electro-optic polymers, phase-change materials, or other tunable optical materials
  • Post-CMOS processing or heterogeneous integration on foundry wafers or dies
  • Dicing, die attach, wire bonding, and electrical probing
  • Nanophotonic or metasurface design using FDTD, FEM, or RCWA simulation
  • Statistical process control, design of experiments, and wafer/run yield analysis
  • Experience transferring processes to commercial foundries or working with foundry design rules

Neurophos Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Neurophos and has not been reviewed or approved by Neurophos.

  • Healthcare Strength — Job postings indicate the company covers 100% of base health plan premiums for employees and dependents and contributes to HSAs. Listings also reference dental, vision, and other voluntary coverages.
  • Leave & Time Off Breadth — Unlimited PTO is advertised with an emphasis on delivery rather than accruals. Notes in postings suggest clarifying typical usage and any minimums.
  • Retirement Support — A 401(k) with employer matching is listed alongside stock option opportunities. This pairing signals structured retirement support in addition to equity participation.

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The Company
HQ: Austin, Texas
50 Employees
Year Founded: 2020

What We Do

Neurophos is an Austin-based semiconductor company developing high-performance, energy-efficient photonic AI inference chips. Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density for an optical system. As AI adoption accelerates, data centers face significant power and scalability challenges. Traditional solutions are struggling to keep up, leading to rapidly rising energy consumption and costs. We’re solving both problems with an OPU that integrates over one million micron-scale optical processing components on a single chip. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving large-scale AI inference performance. We’ve assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft’s Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others. We have also been recognized on the EE Times Silicon 100 list for several consecutive years. Join us and shape the future of optical computing!

Why Work With Us

This is an opportunity to work on a game-changing technology at the intersection of photonics and AI. You’ll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence.

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