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Camera Validation Engineer

1X

Camera Validation Engineer

1X Technologies

Hayward, California, United States

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401k

Unlimited Pto

Required Skills

Python

C/C++

Linux

Camera systems

Image quality

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