Senior Optical Signal-Path Architect & Performance Modeling

Neurophos, Inc.

Austin (TX)

On-site

USD 150,000 - 200,000

Full time

12 days ago

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Benefits offered by this job

Health insurance
Unlimited PTO
401(k) matching
Stock options
Voluntary benefits

Job summary

Neurophos, Inc. is seeking a highly skilled Systems Engineer to own the quantitative, end-to-end performance model of our OVMM engine. This role leads modeling, analysis, and architectural definition for high-speed communication systems, spanning optical, analog, and digital domains.

You will allocate targets, quantify impairments, and drive architecture decisions. You will spend most of your time running system-level simulations and translating results into tangible allocations for design

Qualifications

  • MS or PhD in Electrical Engineering, Applied Physics, or related field.
  • 7+ years of professional experience in communication systems or performance modeling.
  • Deep knowledge of modulation, synchronization, quantization, and coding-gain concepts.

Responsibilities

  • Own and define architecture of high-speed communication and signal-processing system.
  • Manage end-to-end optical/electrical link budget and performance allocations.
  • Build and maintain reference behavioral model for TX–channel–RX path.
  • Run Monte Carlo and time-domain simulations to quantify design margin and robustness.

Skills

Python modeling
Signal processing
System modeling
Communication theory

Education

MS or PhD in Electrical Engineering

Tools

Python (NumPy/SciPy)
MATLAB/Simulink
Cadence Virtuoso

Job description

Neurophos, Inc. is seeking a highly skilled Systems Engineer to own the quantitative, end-to-end performance model of our OVMM engine. This role leads modeling, analysis, and architectural definition for high-speed communication systems, spanning optical, analog, and digital domains.

You will allocate targets, quantify impairments, and drive architecture decisions. You will spend most of your time running system-level simulations and translating results into tangible allocations for design

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