Staff Systems Engineer, Signal-Path Performance & Modeling

Posted Yesterday
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Austin, TX, USA
In-Office
185K-215K Annually
Senior level
Artificial Intelligence • Machine Learning • Semiconductor
We’re building the first programmable light-speed computer.
The Role
Own the end-to-end performance model for an optical vector-matrix multiplication engine. Build optical and electrical link budgets, behavioral signal-chain models, and accuracy, throughput, latency, and power allocations. Model noise, distortion, jitter, quantization, crosstalk, mismatch, and nonlinearities using Monte Carlo, corner, and time-domain simulations. Correlate models with laboratory and silicon measurements, lead trade studies, collaborate across engineering teams, mentor engineers, and contribute to patents.
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 Systems Engineer

FLSA Status: Exempt

Position Overview

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 build and maintain the link and power budgets, quantify optical, analog, and digital impairments, and determine how accuracy, throughput, and power trade against one another as the architecture evolves.

You will spend the bulk of your time running system-level simulations (Monte Carlo, corner, and time-domain), translating them into defensible allocations that the rest of the organization can design against. If you have deep communication-theory and signal-processing intuition, are fluent in turning a signal chain into a quantitative model, and want to be the person who can answer "where does the system actually lose its margin," this role will let you define the performance envelope of a first-of-its-kind computing platform.

Key Responsibilities

Primary Responsibilities

  • Own and maintain the end-to-end optical and electrical link/power budget for the OVMM signal path, keeping it synchronized with the as-designed and as-measured hardware as the architecture evolves.

  • Build and maintain the reference behavioral model of the full TX–channel–RX signal path, capturing optical, analog, quantization, and algorithmic effects with the fidelity needed for architecture trades and requirements allocation.

  • Allocate NMSE/SNR/SNDR targets across the optics, analog, quantization, and algorithmic domains, and update these allocations as component and architectural choices change.

  • Characterize and model optical, analog, and digital impairments—noise, distortion, jitter, quantization effects, crosstalk, mismatch, and nonlinearity—and quantify their impact on system-level accuracy.

  • Analyze the impact of channel count, TX/RX configuration, and architectural changes on TOPS, TOPS/W, and latency, and determine whether a proposed architectural change is worth its additional power or complexity.

  • Develop and run statistical (Monte Carlo, corner) and time-domain simulations to quantify design margin and manufacturing robustness.

  • Correlate model predictions with laboratory and silicon measurements; when measured performance does not match simulation, isolate the source of the discrepancy and refine the model and allocations accordingly.

Secondary Responsibilities

  • Supply architecture and requirements trade studies (led by the Architecture & Requirements focus area) with quantitative performance data.

  • Support the calibration accuracy budget definition (led by the Calibration, Bring-Up & Verification focus area) with a sensitivity analysis.

  • Collaborate with analog, photonic, digital, and software engineers to keep subsystem designs consistent with system-level performance targets.

  • Mentor engineers in system modeling, communication theory, and quantitative trade-study methodology.

  • Contribute to intellectual property creation, including invention disclosures and patents.

Qualifications
  • MS or PhD in Electrical Engineering, Applied Physics, or a closely related field, with emphasis on communication theory, signal processing, or mixed-signal systems.

  • 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.

  • Deep knowledge of modulation formats, equalization, synchronization and estimation, quantization effects, and coding-gain concepts, and how each factor into an end-to-end performance budget.

  • Expert-level proficiency in Python (NumPy/SciPy) and/or MATLAB/Simulink for behavioral modeling, Monte Carlo simulation, and statistical/time-domain 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.

  • 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.

Preferred Skills
  • Experience with optical communication links, coherent or direct-detection architectures, or high-speed SerDes/networking standards (Ethernet, PCIe, OIF-CEI).

  • System-level modeling of high-speed data converters (ADC/DAC), including quantization, sampling, and multi-device synchronization effects.

  • Familiarity with Cadence Virtuoso and Spectre sufficient to validate behavioral models against circuit-level simulation.

  • Hands-on laboratory characterization or silicon/system bring-up experience.

  • Familiarity with photonic integrated circuits, silicon photonics, or optical transceiver systems.

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, Applied Physics, or a closely related field, emphasizing communication theory, signal processing, or mixed-signal systems
  • 5+ years of professional experience in communication systems architecture, link-budget or signal-chain modeling, or optical/high-speed electrical communication performance modeling
  • Deep knowledge of modulation formats, equalization, synchronization, estimation, quantization effects, and coding-gain concepts
  • Expert-level proficiency in Python with NumPy/SciPy and/or MATLAB/Simulink
  • Demonstrated ownership of an end-to-end optical or RF link budget or equivalent SNR/noise budget
  • Strong written and verbal communication skills for cross-functional technical collaboration and presentation of quantitative trade-offs
  • Experience with optical communication links, coherent or direct-detection architectures, or high-speed SerDes/networking standards such as Ethernet, PCIe, or OIF-CEI
  • System-level modeling of high-speed ADC/DAC data converters, including quantization, sampling, and multi-device synchronization
  • Familiarity with Cadence Virtuoso and Spectre
  • Hands-on laboratory characterization or silicon/system bring-up experience
  • Familiarity with photonic integrated circuits, silicon photonics, or optical transceiver systems

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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