Job Title: Image Database & Capture Engineer - Camera Validation (Menlo Park, CA)
Location: Menlo Park, CA
Duration: 6 Months to start with.
Our client is hiring: Image Database & Capture Engineer - Camera Validation (Menlo Park, CA)
Are you passionate about imaging technology, data infrastructure, and cutting-edge camera systems? Join our clients' Camera Hardware Validation Team and help shape the future of image capture and data workflows for next-generation devices.
We're seeking a hands-on engineer to design and scale the infrastructure that powers camera validation-from capturing images in controlled lab environments to storing, tagging, and delivering datasets across internal platforms.
What You'll Do:
Build and maintain automated image capture workflows using advanced camera hardware.
Develop a centralized, scalable image database with tagging, indexing, and lifecycle management.
Collaborate with validation engineers to define standardized metadata schemas (e.g., lighting, scene type, test condition).
Integrate capture pipelines with internal data systems for seamless storage, querying, and access.
Design APIs and internal tools to enable easy retrieval and filtering of image datasets by hardware, scene, or test configuration.
Ensure reliable and repeatable image capture with robust debugging and validation processes.
Minimum Qualifications:
BS/MS in Electrical Engineering, Computer Science, Imaging Science, or a related field.
3+ years of experience with camera systems, image capture scripting, or hardware-software integration.
Proficient in Python and tools for camera/device control (e.g., OpenCV, vendor SDKs).
Strong knowledge of image sensors, optics, and ISP pipelines.
Experience with data infrastructure and pipeline tools (e.g., SQL, Spark, Airflow).
Preferred Experience:
Worked with automated test frameworks or camera validation teams.
Hands-on experience in both Windows and Linux environments.
Understanding of lab setups: lighting rigs, test charts, controlled capture environments.
Familiarity with large-scale image dataset management, including versioning and archival.