Neurophos Logo

Neurophos

Staff Systems Engineer, Calibration, Bring-Up & Verification

Posted 2 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
185K-215K Annually
Senior level
In-Office
Austin, TX, USA
185K-215K Annually
Senior level
Own calibration architecture, algorithms, system integration, laboratory bring-up, and verification for an optical vector-matrix multiplication engine. Develop control and optimization methods for optical phase, amplitude, and timing calibration; specify calibration hardware and software interfaces; lead hardware characterization and debug; correlate measurements with models; define diagnostics and verification plans; and mentor engineers. The role requires extensive hands-on work with electro-optic or mixed-signal systems, test equipment, automated measurement software, and cross-functional design teams.
The summary above was generated by AI
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 calibration architecture, system integration, and verification for our optical vector-matrix multiplication (OVMM) engine. This role is central to closing the gap between a system that is designed to meet its accuracy targets and one that demonstrably does so on the bench: you will devise the calibration algorithms that correct optical phase, amplitude, and timing across many channels, define the bring-up and verification strategy, and personally drive laboratory characterization of the hardware.

You will spend much of your time devising calibration algorithms grounded in control theory and signal processing, and the rest of it hands-on in the lab—bringing up hardware, running verification plans, characterizing performance, and tracking down exactly where measured behavior departs from the model. If you combine control-theory and signal-processing depth with genuine enthusiasm for lab work, this role will let you own the path from calibrated silicon to a working, verified system.

Key Responsibilities

Primary Responsibilities

  • Define the calibration architecture for the OVMM system, and scope and size the algorithms needed to correct optical phase, amplitude, and timing across many transmit and receive channels.

  • Design, implement, and optimize calibration algorithms, applying control theory and optimization techniques to minimize calibration time while meeting system accuracy targets.

  • Specify the calibration controller behavior, apply paths, and digital hardware structures needed to execute calibration in silicon, and define the calibration software and firmware interfaces that drive them.

  • Define the system integration strategy, plan the integration sequence, and lead laboratory bring-up and debug of the assembled system, establishing acceptance criteria at each subassembly boundary.

  • Define system-level test, diagnostic, and observability requirements so that bring-up, calibration, and field operation can all distinguish a healthy system from a degraded one.

  • Develop verification plans, execute performance characterization in the lab, and correlate measured results with modeled predictions—identifying and root-causing gaps between the two.

Secondary Responsibilities

  • Develop calibration, control, and test software (primarily in Python) used both in the lab during bring-up and as the basis for production calibration flows.

  • Supply the Signal-Path Performance & Modeling focus area with calibration accuracy budgets and sensitivity data derived from lab measurements.

  • Flag to the Architecture & Requirements focus area any interface or requirement that impedes calibration, bring-up, or verification.

  • Mentor engineers in calibration algorithm design, bring-up practice, and laboratory characterization methodology.

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

  • 5+ years in calibration algorithm development, system bring-up, or verification of complex electro-optic or mixed-signal systems.

  • Strong foundation in feedback control (stability analysis, sampled-data systems) and optimization methods (convex optimization, gradient descent, search algorithms), with demonstrated ability to formulate a calibration problem as a formal optimization problem and solve it efficiently.

  • Hands-on experience bringing up and debugging complex hardware using oscilloscopes, spectrum/network analyzers, and optical test equipment, and correlating measured performance against a model.

  • Proficiency developing calibration and test software (Python and/or MATLAB)—control loops, data acquisition, and automated characterization scripts—sufficient to run and iterate on lab measurements independently.

  • Excellent communication skills for cross-functional collaboration with analog IC designers, digital designers, photonic device engineers, and system architects.

Preferred Skills
  • Practical experience with digital signal processing techniques—spectral analysis, correlation, and adaptive filtering—applied within calibration or measurement loops.

  • Experience specifying digital hardware for calibration (register maps, state machines, fixed-point arithmetic) sufficient to collaborate effectively with digital design engineers.

  • Familiarity with Cadence Virtuoso and Spectre for validating calibration-relevant behavioral models against circuit-level simulation.

  • Exposure to Bayesian optimization, machine learning for system calibration, or statistical design of experiments.

  • Experience with optical transceiver calibration, phased-array beamforming, or ADC/DAC calibration.

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.

HQ

Neurophos Austin, Texas, USA Office

7600 N Capital of Texas Hwy, Austin, Texas, United States, 78731

Similar Jobs

An Hour Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads to understand customers’ insurance needs, recommend appropriate coverages, and convert prospects into policyholders. The role includes paid training and Property & Casualty licensing, customer communication, sales closing, and brand representation. Employees work remotely, follow assigned evening and weekend schedules, maintain required home-office and internet standards, and remain in their resident state for at least one year.
Top Skills: Cable InternetDsl InternetFiber InternetPc
3 Hours Ago
Hybrid
Internship
Internship
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Supports customer marketing and sustainability strategy across the Americas through market research, customer intelligence, executive communications, strategic program coordination, AI-enabled workflow experimentation, and performance reporting. The intern develops briefings, presentations, stakeholder trackers, reusable research assets, and recommendations for customer engagement and sustainability initiatives.
Top Skills: Artificial Intelligence (Ai)DashboardsDigital Marketing Platforms
3 Hours Ago
Hybrid
Austin, TX, USA
Senior level
Senior level
Artificial Intelligence • Information Technology • Software • Cybersecurity
Owns day-to-day Austin office and workplace operations, including facilities maintenance, building coordination, vendors, procurement, inventory, access control, physical security, IT infrastructure coordination, budgets, onboarding logistics, and employee events. Partners with the Executive Assistant, leadership, IT, People Operations, and Finance to manage operational priorities, policies, projects, and workplace readiness in a fast-growing defense technology company.
Top Skills: Access Control SystemsAv SystemsBadge SystemsFacilities Management SoftwareHardware InstallationNetwork InfrastructurePhysical Security SystemsVisitor Management SystemsWorkplace Operations Platforms

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account