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Specter

AI-powered deal-sourcing data platform

Optics & Camera Engineering Lead

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in optical, imaging, or camera systems engineering, including multiple camera products shipped to volume production.
  • Fluency across the imaging stack, from image quality effects on computer vision, machine learning, and end users through lens design, mechanics, and testing.
  • Deep knowledge of image sensors, lens design, and trade-offs among resolution, field of view, F-number, modulation transfer function, aberrations, depth of focus, and thermal stability.
  • Hands-on experience with optical simulation software such as Zemax OpticStudio or CODE V.
  • A track record of specifying off-the-shelf and custom lenses with suppliers and making clear performance and cost trade-offs.
  • Athermalization experience covering mechanical design and optical performance across temperature, including focus shift and modulation transfer function drift.
  • Experience designing optical test equipment, running test campaigns, and using rigorous data analysis to inform decisions.
  • Experience with near-infrared imaging, active illumination, and long-, mid-, or short-wave infrared systems.
  • Experience taking hardware through new product introduction with contract manufacturers or original design/manufacturing partners.
  • Ability to communicate optical trade-offs to software, business, and customer-facing teams.
  • Familiarity with optical design software such as Zemax OpticStudio, CODE V, or equivalent.
  • Familiarity with image quality analysis tools such as Imatest or equivalent.
  • Familiarity with Python or MATLAB for test automation and data analysis.
  • Familiarity with mechanical computer-aided design software such as SolidWorks for opto-mechanical review.
  • Familiarity with computer vision fundamentals and tools such as OpenCV for image analysis, calibration, and evaluating model performance.
  • Familiarity with the Linux command line for sensor bring-up, data capture, and scripting on embedded systems.
  • Knowledge of hardware reliability and test methods, including environmental qualification, accelerated life testing, failure mode and effects analysis, and failure analysis.

Responsibilities

  • Evaluate and select image sensors for each product by comparing low-light performance, including SNR1s and quantum efficiency at 850/940 nm, pixel size, resolution, frame rate, high dynamic range, supply life, and cost.
  • Select off-the-shelf lenses or specify custom lens designs matched to each sensor, including field of view, F-number, modulation transfer function across the field, near-infrared correction, distortion, relative illumination, and athermal behavior.
  • Evaluate and select the image signal processor architecture, such as on-sensor, companion ASIC/FPGA, or system-on-chip ISP, weighing image quality, latency, power, cost, and supply; drive ISP tuning and pipeline development for day and near-infrared night modes.
  • Benchmark sensor and lens candidates in the lab and field, and maintain a qualified roster of sensors, lenses, and IR-cut filters for new programs.
  • Translate customer use cases and computer vision/machine learning performance into camera requirements using pixel-density frameworks such as IEC 62676-4 DORI.
  • Run coverage and range trade studies across sensor resolution, field of view, mounting height, pixel density, infrared range, inference load, power, and cost.
  • Define modulation transfer function, aperture, distortion, relative illumination, stray light, and near-infrared focus targets, and connect them to measured model precision and recall at distance.
  • Design and run real-world field test campaigns across sites, lighting, and weather; use model and image-quality data to quantify customer impact from camera changes and drive design decisions.
  • Own optical performance specifications for fixed, multi-camera, panoramic, and pan-tilt-zoom products.
  • Integrate the selected sensor, lens, IR-cut filter, and mount into a camera system that meets specifications across operating conditions.
  • Drive athermal design so focus and modulation transfer function remain stable across a wide operating range and under solar loading, accounting for IR-cut filters, lens mounts, flange coefficient of thermal expansion, humidity, and pressure.
  • Specify near-infrared illumination using LEDs and lasers matched to lens field of view, including frame-synced strobing, IEC 60825-1 eye safety, thermal limits, and internal-reflection control.
  • Guide window, coating, heater, wiper, and sun-shade design so optical performance withstands years of outdoor service.
  • Use optical simulation to evaluate concepts and review supplier prescriptions.
  • Own the technical content of requests for proposals for camera modules and complete camera systems, and evaluate proposals on performance, cost, schedule, and risk.
  • Lead technical work with optics suppliers and ODM/JDM partners on off-the-shelf selection, custom lens design, active alignment, and production testing.
  • Hold partners to design reviews and gate criteria from design through engineering, design, and production validation testing.
  • Develop Specter's optical lab capabilities for collimators, slant-edge modulation transfer function, focus through temperature, flare and stray light, low-light signal-to-noise ratio, infrared range, and field-of-view/distortion measurement.
  • Design and qualify optical test equipment for development, reliability, and manufacturing, with documented gauge repeatability and reproducibility.
  • Plan and run laboratory reliability and qualification campaigns covering thermal conditions, humidity, condensation, solar loading, ingress, cleaning and coating endurance, and field life; analyze results and drive decisions.
  • Define calibration, including intrinsics, extrinsics, and per-unit data, and production acceptance tests at contract manufacturers.
  • Take camera systems from concept to volume production with partners and contract manufacturers, driving design for manufacturability, automated focus and alignment, and yield.
  • Partner with embedded imaging engineers on sensor bring-up, driver integration, and day/night switching in production.
  • Mentor engineers across camera, image quality, test, and manufacturing engineering.
  • Track emerging imaging technology, including large-format sensors, zoom optics, electro-optical/infrared fusion, camera arrays, and computational imaging, and recommend investment areas.

Desired Qualifications

  • Experience with outdoor, automotive, or security cameras, including sealing, condensation, window cleaning, and environmental qualification.
  • Experience with active alignment and high-volume camera module manufacturing.
  • Experience with pan-tilt-zoom, zoom/focus optics, panoramic or multi-camera systems, and camera calibration for computer vision.
  • Experience with electro-optical/infrared thermal imaging.
  • Familiarity with GMSL/FPD-Link camera interfaces and image signal processor tuning.
  • Experience with laser illumination and eye-safety certification.
  • Experience leading engineers and cross-functional technical programs.

About the Company

Specter

AI-powered deal-sourcing data platform

Specter provides AI-powered data and deal-sourcing for investors in private markets. It aggregates real-time data on millions of companies and professionals to surface insights for sourcing and market analysis, including funding rounds, M&A activity, revenue signals, headcount, web traffic, and leadership changes. Access is via a web platform, API, bulk data delivery, and a Chrome extension, with CRM enrichment and network-tracking to reveal warm introductions; users can search with natural language and set Hot Signals and Interest Signals. The service differentiates itself with real-time private-market intelligence, extensive people and relationship data, and integrations, serving over 300 firms with a SaaS model to help clients source deals more efficiently and anticipate opportunities.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2019

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