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SNAP/SNAP
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B2CMarketingMedia
SNAP/SNAP este o companie de închiriere de cabine foto cu sediul în Adelaide, care deservește nunți, petreceri, evenimente corporate și activări de brand. Fondată în 2013, echipa sa restrânsă oferă experiențe la locația evenimentului prin configurațiile OpenBooth, GifBooth, GlamBooth și 360 Booth, combinând camere Canon mirrorless, iluminare profesională, opțiuni de imprimare și galerii digitale. Compania se ocupă de instalarea și strângerea echipamentului, de asistența tehnică și de retușarea imaginilor după eveniment, ajutând clienții și invitații să păstreze amintiri bine finisate, atât fizice, cât și digitale.
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Locurile de muncă ale companiei

Computational Imaging Engineer — Boulder, CO (Onsite)

Develop ISP pipelines and sensor algorithms for Snap’s AR glasses. Partner with optics, computer vision, and compute teams to advance next-generation imaging systems.

USStatele Unite ale AmericiiCACaliforniaCOColorado
133.000 $ – 235.000 $ / an
La sediuNormă întreagăJuniorNivel mediuLimbă Obligatorie: englezăInginer
C++Python

Descriere

  • Build ISP pipelines for next-generation computational imaging platforms
  • Coordinate work across optics, sensors, computer vision, and compute teams
  • Guide architecture decisions and align stakeholders on critical trade-offs
  • Create test methods and characterization plans for camera ISP performance
  • Investigate sensor performance issues and implement corrective actions
  • Travel up to 15%

Cerințe

  • Bachelor’s degree in optics, physics, electrical engineering, computer science, or a related field
  • At least 2 years of computational imaging experience applied to computer vision
  • Experience applying computational imaging, computer vision, and machine learning to image processing
  • Experience developing and optimizing ISP and machine learning algorithms for camera products
  • Experience with non-traditional image sensors, including single-photon detectors such as SPADs, jots, and SiPMs, as well as event and neuromorphic sensors
  • Understanding of optics and camera systems used for imaging, depth mapping, and biometric sensing
  • Knowledge of image quality assessment and ISP pipelines
  • Software development and data analysis experience with C++, MATLAB, Python, or similar tools
  • Ability to use AI models to accelerate engineering workflows and software development
  • Ability to work independently while managing internal and external resources
  • Ability to evaluate system-level effects and trade-offs on highly constrained platforms
  • Ability to analyze, organize, and prioritize work across multiple deadlines
  • Ability to collaborate in a fast-moving, cross-functional environment with engineering teams, vendors, suppliers, and external resource managers
  • Preferred: PhD or master’s degree in optics, physics, electrical engineering, computer science, or a related field
  • Preferred: At least 4 years of experience designing robust computer vision algorithms for consumer electronics platforms
  • Experience developing camera systems for AR/VR, wearable, or mobile products
  • Experience building end-to-end camera ISP pipelines for edge or distributed compute platforms
  • Experience developing event-based processing systems
  • Experience with depth mapping and direct time-of-flight (dTOF) depth measurement systems
  • Experience designing algorithms for pixel- and sensor-level logic

Beneficii

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that include equity through RSUs
  • Equal opportunity employment protections
  • Up to 15% travel

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