# Staff Systems Engineer, Signal-Path Performance & Modeling at Neurophos

- Company: Neurophos
- What the company does: Neurophos develops photonic AI processing technology that focuses on hardware solutions for accelerating artificial intelligence inference by replacing traditional electronic compute elements with Optical Processing Units (OPUs). Backed by Purple Arch Ventures.
- Company website: https://neurophos.com
- Type: Startups
- Level: Senior
- Location: Austin, Texas
- Work setup: On-site
- Pay: $185K to $215K base salary per year (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://jobs.ashbyhq.com/neurophos/1551582f-4a9f-4125-a899-410b3cec2bf8
- Page: https://www.1752.vc/careers/jobs/neurophos-staff-systems-engineer-signal-path-performance-and-modeling/

## About the role

We are seeking a highly skilled Systems Engineer to own the quantitative, end-to-end performance model of our optical vector-matrix multiplication (OVMM) engine. This role is the technical center of Systems Engineering's performance-modeling focus area: you will lead the end-to-end modeling, analysis, and architectural definition of high-speed communication and signal-processing systems.

## What they're looking for

- Degree: MS or PhD in Electrical Engineering, Applied Physics, or a closely related field, with emphasis on communication theory, signal processing, or mixed-signal systems
- Experience: 5+ years of professional experience in communication systems architecture, link-budget/signal-chain modeling, or performance modeling of optical or high-speed electrical communication systems
- Communication Theory & Signal Processing: Deep knowledge of modulation formats, equalization, synchronization and estimation, quantization effects, and coding-gain concepts, and how each factors into an end-to-end performance budget
- System Modeling: Expert-level proficiency in Python (NumPy/SciPy) and/or MATLAB/Simulink for behavioral modeling, Monte Carlo simulation, and statistical/time-domain analysis
- Link Budget & Noise Analysis: Demonstrated ownership of an end-to-end optical or RF link budget (or equivalent SNR/noise budget), including the ability to update allocations when a component or architecture choice changes and predict the system-level impact
- Communication: Excellent written and verbal communication for cross-functional collaboration with analog, digital, photonic, and software engineers, and the ability to present quantitative trade-offs clearly to technical leadership

Tags: Engineering