N

Neurophos

Optical metasurface AI accelerators

Principal SoC Design Engineer / SoC Lead

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Principal-level or equivalent technical leadership experience at a semiconductor or systems company, including multiple full-chip tapeouts.
  • Breadth across domains, including experience closing timing on a block and making interconnect architecture decisions in the same design cycle.
  • Deep experience in CPU design or high-speed interconnect/data-fabric design; interconnect and data-fabric work is especially central to the role.
  • Experience with advanced process nodes, high-bandwidth I/O, and large, physically large subsystem or full-chip designs.

Responsibilities

  • Lead integration of the full chip or a major module/subsystem, including ownership of top-level integration flows.
  • Make and own cross-domain technical decisions spanning system functionality, design-for-test (DFT), power, timing, and interconnect/data-fabric architecture.
  • Partner across microarchitecture, RTL, physical design, verification, and DFT to resolve system-level tradeoffs.
  • Stay hands-on with the flow at every level and go deep on any domain as needed.
  • Help scale the design organization by hiring, mentoring, and growing engineers across specialty domains.
  • Represent chip-level architecture in advanced-node, high-speed, high-bandwidth, low-power, physically large designs.

Desired Qualifications

  • Cadence toolchain experience.
  • Comfort with evaluation as either an individual-contributor technical leader or a people manager.
  • Familiarity with AI/ML accelerator or large-scale compute workloads.
  • Familiarity with AI-assisted EDA flows in the Cadence toolchain, such as Cerebrus, for synthesis, timing closure, or verification.

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

Recently Posted Jobs

Explore more opportunities at Neurophos

See more jobs