Manulife Operations Supervisor, Hybrid Philippines
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Lead insurance operations at Manulife, overseeing service levels, workflows, audits, and team performance. This hybrid position supports teams in Quezon City or Lapu-Lapu City.
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S
SNAP/SNAP is an Adelaide-based photo booth rental company serving weddings, parties, corporate events and brand activations. Founded in 2013, its small team provides on-site experiences through OpenBooth, GifBooth, GlamBooth and 360 Booth setups, combining Canon mirrorless cameras, professional lighting, print options and digital galleries. The company manages event setup and pack-down, technical support and post-event image retouching, helping clients and guests take home polished physical and digital memories.
Computational Imaging Engineer — Boulder, CO (Onsite)
Develop ISP pipelines and sensor algorithms for Snap’s AR glasses. Partner with optics, computer vision, and compute teams to advance next-generation imaging systems.
United States
California
Colorado$133,000 – $235,000 / year
On-siteFull-timeJuniorMiddleEnglish RequiredEngineerDescription
- Build ISP pipelines for next-generation computational imaging platforms
- Coordinate work across optics, sensors, computer vision, and compute teams
- Guide architecture decisions and align stakeholders on critical trade-offs
- Create test methods and characterization plans for camera ISP performance
- Investigate sensor performance issues 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 applied to computer vision
- Experience applying computational imaging, computer vision, and machine learning to image processing
- Experience developing and optimizing ISP and machine learning algorithms for camera products
- Experience with non-traditional image sensors, including single-photon detectors such as SPADs, jots, and SiPMs, as well as event and neuromorphic sensors
- Understanding of optics and camera systems used for imaging, depth mapping, and biometric sensing
- Knowledge of image quality assessment and ISP pipelines
- Software development and data analysis experience with 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 evaluate system-level effects and trade-offs on highly constrained platforms
- Ability to analyze, organize, and prioritize work across multiple deadlines
- Ability to collaborate in a fast-moving, cross-functional environment with engineering teams, vendors, suppliers, and external resource managers
- Preferred: PhD or master’s degree in optics, physics, electrical engineering, computer science, or a related field
- Preferred: At least 4 years of experience designing robust computer vision algorithms for consumer electronics platforms
- Experience developing camera systems for AR/VR, wearable, or mobile products
- Experience building 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 (dTOF) 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
- Compensation packages that include equity through RSUs
- Equal opportunity employment protections
- Up to 15% travel
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