Overview
On Site
USD 60.00 per hour
Full Time
Skills
Recruiting
Social Media
Electrical Engineering
Computer Science
Science
Hardware Development
System Integration
System Imaging
Sensors
Optics
ISP
Python
OpenCV
Database
SQL
Apache Spark
Data Compression
Automated Testing
Microsoft Windows
Linux
Laboratory Equipment
Conflict Resolution
Problem Solving
Acquisition
Infrastructure Architecture
Organized
Computer Hardware
Data Engineering
Management
Storage
Workflow
Scripting
Collaboration
Meta-data Management
Lighting
Apache Hive
Data Storage
Use Cases
Hardware Installation
Debugging
Lifecycle Management
Data Deduplication
Regulatory Compliance
Data Governance
Privacy
Job Details
Date Posted: 07/08/2025
Hiring Organization: Rose International
Position Number: 485128
Industry: Social Media
Job Title: Image Database and Capture Engineer
Job Location: Menlo Park, CA, USA, 94025
Work Model: Onsite
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 5
Min Hourly Rate($): 60.00
Max Hourly Rate($): 65.00
Must Have Skills/Attributes: Airflow, Python, Spark, SQL
Experience Desired: Camera hardware development, image capture workflows, or hardware-software (3 yrs)
Required Minimum Education: Bachelor's Degree
Job Description
Education:
BS/MS in Electrical Engineering, Computer Science, Imaging Science, or a related field.
Years of Experience:
3+ years
Must Have:
3+ years of experience in camera hardware development, image capture workflows, or hardware-software integration.
Solid understanding of camera systems, image sensors, optics, and ISP pipelines.
Proficient in Python and tools for image capture and device control (e.g., OpenCV, PyCapture, vendor SDKs).
Experience in database systems, data engineering, or pipeline development (e.g., SQL, Hive, Spark, Airflow).
Familiarity with managing large datasets, including image storage formats, metadata, and compression.
Nice to Have:
Experience working with camera validation teams or test automation frameworks.
Knowledge of our internal tools and infrastructure (e.g., Scuba, FBLearner, Manifold, etc.).
Strong debugging and scripting experience across platforms (Windows, Linux).
Understanding of test chart setups, lighting environments, and lab equipment control.
Excellent problem-solving skills and ability to work cross-functionally with hardware and software teams.
This role combines hands-on image acquisition using specialized camera hardware with backend data infrastructure design to ensure the image data is well-organized, tagged, and readily accessible for analysis across teams. You will work at the intersection of hardware, software, and data engineering-owning both the pipeline for image capture in the lab and the tools to upload, store, and manage image data at scale within our ecosystem.
Responsibilities:
Lead the development of an image data infrastructure that supports automated upload, storage, tagging, and indexing of image data collected during camera validation.
Build and maintain camera image capture workflows, including scripting, control, and calibration of camera modules in bench and lab environments.
Collaborate with camera validation engineers to define standardized metadata schemas (e.g., module ID, scene type, capture condition, lighting setup, test campaign) for consistent tagging.
Design and implement backend pipelines to integrate with our internal systems (e.g., Hive, FBLearner, Scuba) for scalable data storage and querying.
Provide tooling and APIs for engineers to retrieve image datasets filtered by use case, condition, or hardware configuration.
Validate and debug image capture systems, ensuring repeatability and reliability across modules and setups.
Support long-term image data lifecycle management, including archival, deduplication, versioning, and traceability.
Ensure compliance with our data governance, privacy, and retention policies.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 485128
Industry: Social Media
Job Title: Image Database and Capture Engineer
Job Location: Menlo Park, CA, USA, 94025
Work Model: Onsite
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 5
Min Hourly Rate($): 60.00
Max Hourly Rate($): 65.00
Must Have Skills/Attributes: Airflow, Python, Spark, SQL
Experience Desired: Camera hardware development, image capture workflows, or hardware-software (3 yrs)
Required Minimum Education: Bachelor's Degree
Job Description
Education:
BS/MS in Electrical Engineering, Computer Science, Imaging Science, or a related field.
Years of Experience:
3+ years
Must Have:
3+ years of experience in camera hardware development, image capture workflows, or hardware-software integration.
Solid understanding of camera systems, image sensors, optics, and ISP pipelines.
Proficient in Python and tools for image capture and device control (e.g., OpenCV, PyCapture, vendor SDKs).
Experience in database systems, data engineering, or pipeline development (e.g., SQL, Hive, Spark, Airflow).
Familiarity with managing large datasets, including image storage formats, metadata, and compression.
Nice to Have:
Experience working with camera validation teams or test automation frameworks.
Knowledge of our internal tools and infrastructure (e.g., Scuba, FBLearner, Manifold, etc.).
Strong debugging and scripting experience across platforms (Windows, Linux).
Understanding of test chart setups, lighting environments, and lab equipment control.
Excellent problem-solving skills and ability to work cross-functionally with hardware and software teams.
This role combines hands-on image acquisition using specialized camera hardware with backend data infrastructure design to ensure the image data is well-organized, tagged, and readily accessible for analysis across teams. You will work at the intersection of hardware, software, and data engineering-owning both the pipeline for image capture in the lab and the tools to upload, store, and manage image data at scale within our ecosystem.
Responsibilities:
Lead the development of an image data infrastructure that supports automated upload, storage, tagging, and indexing of image data collected during camera validation.
Build and maintain camera image capture workflows, including scripting, control, and calibration of camera modules in bench and lab environments.
Collaborate with camera validation engineers to define standardized metadata schemas (e.g., module ID, scene type, capture condition, lighting setup, test campaign) for consistent tagging.
Design and implement backend pipelines to integrate with our internal systems (e.g., Hive, FBLearner, Scuba) for scalable data storage and querying.
Provide tooling and APIs for engineers to retrieve image datasets filtered by use case, condition, or hardware configuration.
Validate and debug image capture systems, ensuring repeatability and reliability across modules and setups.
Support long-term image data lifecycle management, including archival, deduplication, versioning, and traceability.
Ensure compliance with our data governance, privacy, and retention policies.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.