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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing image signal processing pipelines and optimizing machine learning algorithms for computational imaging applications. Proficient in cross-functional collaboration and capable of leading architectural decisions and performance analysis for camera systems.
Highest-signal resume keywords
Image Signal Processing (ISP) DevelopmentComputational Imaging ExpertiseMachine Learning Algorithms OptimizationCamera System DesignCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C++MATLABPythonImage ProcessingDepth MappingEvent Based ProcessingCamera ISP PipelinesSensor Performance AnalysisAlgorithm DesignData Analysis
Soft Skills
Independent WorkOrganizational SkillsCollaborationProblem SolvingTime Management
Certifications & Qualifications
Bachelor’s Degree in OpticsBachelor’s Degree in PhysicsBachelor’s Degree in Electrical EngineeringBachelor’s Degree in Computer Science
Industry Keywords
Computational ImagingComputer VisionOpticsSingle Photon DetectorsBiometric SensingAR/VR Camera SystemsConsumer ElectronicsNeuromorphic SensorsDepth Measurement SystemsEvent Sensors
Tech Stack
Tools & technologiesPythonC++
About the role
Key responsibilities & impact- 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%
Requirements
What you’ll need- 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.
- Knowledge of optics and camera systems for imaging, depth mapping, and biometric sensing
- Knowledge of image quality and ISP pipelines
- Software development and data analysis skills (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
- Preferred: PhD or master’s degree in optics, physics, electrical engineering, computer science or related field
- Preferred: 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
Benefits
Comp & perks- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages that let employees share in Snap’s long-term success
- Equity in the form of RSUs