Role OverviewWe are seeking a Systems Validation Engineer to own multi-sensor system validation for next-generation wearables. The core of the role is building test capability that does not yet exist, especially for HW image quality that feeds on-device AI features.
What You Will Do
Design and build validation methods for performance across vision and other sensing AI use cases, build and own the test capability itself, develop Python automation, and investigate and root-cause capture issues on pre-production hardware.
Why It Might Be a Fit
Established image-quality expertise is the foundation you bring — applied through targeted studies and cross-functional optimization rather than routine metric-by-metric validation.
Requirements
- Masters Degree with 6-10 years of experience and background in Imaging Science, Computer Science, Image Processing, Computer vision, Optics, Electrical Engineering, or a related field
- Demonstrated hands-on experience validating consumer imaging systems against objective image quality metrics
- Practical understanding of how vision AI features consume camera output
- Strong Python with demonstrated experience building test automation and image or video analysis tooling
- Hands-on optical lab capability
- Comfortable working on pre-production hardware
- Strong analytical judgement and clear reporting
- Able to work with ambiguity, incomplete specifications and shifting priorities
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