Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
Open
Snap Inc. is a technology company building camera-driven products for communication, creativity, and self-expression. Its work centers on using visual technology to help people connect while considering the broader effects of digital products on mental health, society, and the environment. The company also highlights diversity, equity, and inclusion across its workforce, responsible design, ethical governance, transparent decision-making, and environmentally conscious operations.
Computational Imaging Engineer – Los Angeles, Hybrid
Develop ISP and machine-learning pipelines for Snap’s Specs AR eyewear. Partner with optics, sensor, computer vision, and compute teams.
United States
California$157,000 – $235,000 / year
HybridFull-timeJuniorMiddleEnglish RequiredEngineerDescription
- Build image signal processing pipelines for next-generation computational imaging platforms
- Coordinate work across optics, sensor, computer vision, and compute teams
- Shape architecture decisions and align stakeholders on critical trade-offs
- Create test methods and characterization plans for camera ISP performance
- Investigate sensor performance issues, identify root causes, and implement corrective actions
- Travel up to 15%
Requirements
- Bachelor’s degree in optics, physics, electrical engineering, computer science, or a related field
- At least 2 years of computational imaging experience for computer vision applications
- Background in 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, event-based, and neuromorphic sensors
- Understanding of optics and camera systems for imaging, depth mapping, and biometric sensing
- Knowledge of image quality principles and ISP pipelines
- Software development and data analysis proficiency in 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 assess system-level impacts and trade-offs on highly constrained platforms
- Ability to analyze, organize, and prioritize work across multiple deadlines
- Ability to collaborate effectively in a fast-paced, cross-functional environment
- Preferred: PhD or master’s degree in optics, physics, electrical engineering, computer science, or a related field
- Preferred: At least 4 years designing robust computer vision algorithms for consumer electronics platforms
- Experience building camera systems for AR/VR, wearable, or mobile products
- Experience developing 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 depth measurement systems
- Experience designing algorithms for pixel- and sensor-level logic
Benefits
- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Equity-based compensation through RSUs
- Equal opportunity employment
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