Computational Imaging Engineer

Snap Inc.•Los Angeles, CA

1d•$133,000 - $235,000•Hybrid

About The Position

Snap Inc. is a technology company focused on improving communication through its camera-centric products. The company operates Snapchat, a visual messaging app, and Specs Inc., a subsidiary developing advanced eyewear that integrates digital experiences into the physical world with its proprietary Snap OS. Specs Inc. also provides Lens Studio, a platform for augmented reality experiences. This role is for a Computational Imaging Engineer to join the SPECS team, contributing to the development of next-generation computational imaging platforms.

Requirements

Knowledge optics and camera systems for imaging, depth mapping, and biometric sensing
Knowledge of image quality and ISP pipelines
Skills with software development and data analysis (e.g., C++, MATLAB, Python, etc.)
Skills leveraging AI models to accelerate engineering workflows and software development
Ability to work independently and manage internal and external resources
Ability to consider system level impacts and tradeoffs in a highly constrained platform
Ability to analyze, organize and prioritize work while meeting multiple deadlines.
Ability to collaborate and operate in a fast-paced cross-functional environment including engineering teams, vendors, suppliers, and outside resource management.
Bachelor’s degree in optics, physics, electrical engineering, computer science or related field
2+ years of experience in computational imaging for computer vision applications
Experience with computational imaging, computer vision, and machine learning for image processing
Experience developing and optimizing ISP and machine learning algorithms for camera products
Experience with non-traditional image sensors including: single photon detectors (e.g. SPADs, jots, SiPMs, etc.), event sensors, neuromorphic sensors, etc.

Nice To Haves

PhD or master’s degree in optics, physics, electrical engineering, computer science or related field
4+ years of experience in designing robust computer vision algorithms for consumer electronics platforms
Experience building camera systems for AR/VR, wearables, or mobile platforms
Experience developing end-to-end camera ISP pipelines designed for edge and/or distributed compute platforms
Experience developing for event based processing
Experience with depth mapping and direct time of flight (dTOF) depth measurement systems
Experience designing algorithms for pixel and sensor level logic

Responsibilities

Develop image signal processing (ISP) pipelines for next generation computational imaging platforms
Facilitate cross-functional collaboration across optics, sensors, computer vision, and compute teams
Influence key architectural decisions and drive consensus on critical trade-offs
Develop test methodologies and characterization plans for camera ISP performance
Lead root cause analysis and implement corrective actions for sensor performance issues