Director of Test Automation
Neurophos
Director of Test Automation
Neurophos
Optical metasurface AI accelerators
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 (preferred) or Sunnyvale, CA. Full-time onsite position.
Reports To: VP of Product Engineering
FLSA Status: Exempt
Neurophos is bringing up its first optical processing units, and no one has tested one before. This role owns test and test automation at every level (wafer, component, and system) plus the automation and data that connect them. Today, most testing happens by hand, one part at a time, by the engineers who designed the part, and that won't scale at volume. You will define what test means for the T100, set pass criteria from what the hardware actually does, and build the team and infrastructure to run it.
Define and own the test strategy across wafer, component, and system level for T100 OPU modules and POC1 units.
Develop wafer-level probe and test programs that screen known-good die before they are committed to a package.
Establish system-level tests that verify the optical, electrical, and computational path produces the right answer, since a unit can pass every electrical check and still be wrong.
Build the automation behind all three levels: test sequences, probe and fixturing, instrument control, and the pass criteria that decide what moves forward.
Design the test data system: schema and storage for measurement data at volume, and traceability that carries a die’s identity and position through packaging into the finished unit.
Connect results across levels so upstream data shortens downstream test and seeds calibration, and system findings feed back into component specs and screening criteria.
Work with calibration, optical metrology, and integration engineers, who share instruments, fixtures, and data with test.
Hire and lead the test team, and stay hands-on at the bench while the team is small.
MS or PhD in engineering, physics, or computer science, and 10+ years in test engineering or test automation for hardware, including time spent hiring and growing engineers.
You have built a test automation system from nothing and seen it carry real production volume. Not inherited one, not bought one.
Wafer-level test experience on logic or photonic devices: probe, test program development, and what it takes to screen die before they go into a package.
Experience testing systems rather than components, where the answer depends on several subsystems interacting and the failure is rarely where it first looks.
You have built or owned a test data management system, not just used one, including schema, storage at volume, and die-level traceability through packaging.
You have connected test data across levels and applied AI/ML to it: learning which upstream measurements predict downstream behavior, deciding which tests a given unit still needs, and setting screening criteria from evidence.
Strong software skills in Python or similar, including instrument control, and the judgment to build a framework others can extend without you.
Optical or photonic test: fiber, free-space optics, detectors, and alignment.
High-speed electrical measurement and signal integrity.
Hardware-in-the-loop test frameworks.
Test for systems where accuracy comes from calibration rather than component tolerance.
Taking a test process from first article into production and handing it to a contract manufacturer.
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.
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.
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.
Explore more opportunities at Neurophos