SNAP/SNAP

1 – 10 Darbinieki

SNAP/SNAP ir Adelaidē bāzēts foto kabīņu nomas uzņēmums, kas apkalpo kāzas, ballītes, korporatīvos pasākumus un zīmolu aktivizācijas. Mazā komanda, kas dibināta 2013. gadā, nodrošina uz vietas īstenotu pieredzi ar OpenBooth, GifBooth, GlamBooth un 360 Booth risinājumiem, apvienojot Canon bezspoguļa kameras, profesionālu apgaismojumu, drukāšanas iespējas un digitālās galerijas. Uzņēmums rūpējas par pasākuma uzstādīšanu un novākšanu, tehnisko atbalstu un attēlu retušēšanu pēc pasākuma, palīdzot klientiem un viesiem paņemt līdzi kvalitatīvas fiziskas un digitālas atmiņas.

Vakances uzņēmumā

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.

pirms 1 nedēļas

Amerikas Savienotās Valstis

Kalifornija

157 000 $ – 235 000 $ / gads

Hibrīdi Pilna slodze Jaunākais speciālists Vidējais līmenis Nepieciešamā Valoda: angļu Inženieris

C++Python

Apraksts

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%

Prasības

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

Priekšrocības

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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