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SNAP/SNAP
1 – 10 Angajați
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, Los Angeles Hybrid

Build camera ISP pipelines and sensor solutions for Snap’s Specs AR eyewear. Partner with optics, computer vision, and compute teams to advance computational imaging systems.

USStatele Unite ale AmericiiCACalifornia
157.000 $ – 235.000 $ / an
HibridNormă întreagăJuniorNivel mediuLimbă Obligatorie: englezăInginer
C++Python

Descriere

  • Build image signal processing pipelines for emerging computational imaging platforms
  • Coordinate engineering work across optics, sensor, computer vision, and compute disciplines
  • Shape system architecture decisions and align stakeholders on important technical trade-offs
  • Create camera ISP performance test methods and characterization strategies
  • Investigate sensor performance problems, identify root causes, and deliver corrective measures
  • Travel occasionally, up to 15%

Cerințe

  • Bachelor’s degree in optics, physics, electrical engineering, computer science, or a related discipline
  • At least two years of computational imaging experience supporting computer vision applications
  • Background in computational imaging, computer vision, and machine learning for image processing
  • Experience creating and optimizing ISP and machine learning algorithms for camera products
  • Experience with unconventional image sensors such as SPADs, jots, SiPMs, event sensors, or neuromorphic sensors
  • Understanding of optics and camera systems used for imaging, depth mapping, and biometric sensing
  • Knowledge of image quality principles and ISP pipeline design
  • Software engineering and data analysis experience with tools such as C++, MATLAB, or Python
  • Ability to use AI models to speed up engineering workflows and software development
  • Capacity to work independently while coordinating internal and external resources
  • Ability to assess system-level effects and trade-offs on highly constrained platforms
  • Strong organization and prioritization skills when managing multiple deadlines
  • Ability to contribute effectively in a fast-moving, cross-functional environment
  • Preferred: master’s or PhD in optics, physics, electrical engineering, computer science, or a related discipline
  • Preferred: four or more years designing reliable computer vision algorithms for consumer electronics
  • Experience developing camera systems for AR/VR, wearable, or mobile products
  • Experience delivering complete camera ISP pipelines for edge or distributed computing platforms
  • Experience developing event-based processing systems
  • Experience with depth mapping and direct time-of-flight depth measurement systems
  • Experience designing pixel-level and sensor-level algorithms

Beneficii

  • Paid parental leave
  • Broad medical insurance coverage
  • Programs supporting emotional and mental well-being
  • Compensation designed to provide a share of Snap’s long-term performance
  • Equity awards provided as restricted stock units

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