Computational Imaging Engineer at Snapchat in Los Angeles, CA
- Company: Snapchat
- Location: Los Angeles, California
- Salary: $133K – $235K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-01
Job description
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles . Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world. Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice. Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services. We’re looking for a Computational Imaging Engineer to join the SPECS team! What you’ll do: 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 Travel up to 15% Knowledge, Skills & Abilities: 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. Minimum Qualifications: 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. Preferred Qualifications: 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
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