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Required Skills
Python
Linux
Machine Learning
Role Overview
Seeking a Camera Validation Engineer responsible for validating new camera modules and image sensors, defining and owning validation specifications, executing image quality characterization and verification, and supporting camera module bring-up from early design and prototyping through qualification and mass production for the next-generation vision systems of the 1X humanoid robot.
The ideal candidate is a creative problem-solver who thrives in a fast-paced product development environment.
Responsibilities
- Execute comprehensive camera system-level characterization of optical and electrical performance in complex robotic systems
- Design and implement robust calibration protocols and manufacturing test processes for high-precision vision systems
- Lead hardware and software vision system bring-up from prototype design through mass production
- Act as the primary technical point of contact for external vendors, driving alignment to performance requirements
- Develop specifications and objective metrics for camera validation systems
- Work closely with AI perception teams to align system requirements and feature development
Requirements
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science or a related field
- 3+ years of relevant experience in camera and imaging systems
- Working knowledge of electrical, optical, and mechanical aspects of camera modules
- Experience with Python and C/C++
- Proficiency working in a Linux environment
- Experience with standard image quality evaluation tools and software (Such as Imatest, Image Engineering, Matlab or equivalent)
- Ability to work full-time on-site
Nice-to-Have
- Proven experience with stereo vision systems and consumer camera products
- Experience with machine learning and computer vision frameworks
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