Camera Systems and Calibration Engineer

About the Company

Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Founded by Stanford and UC Berkeley researchers, we build custom hardware products to recover human embodied intelligence as a learned model, advancing research into robotics and world modeling.

Responsibilities

• Own the entire optics and calibration stack including lens selection, image quality, intrinsics, extrinsics, ISP tuning, and multi-camera alignment
• Perform lens characterization, sensor evaluation, and optical mount tolerance budgeting
• Manage image quality and ISP tuning including AE, AWB, color matrix, and lens shading correction
• Develop multi-stage calibration pipelines for camera intrinsics, fisheye distortion, stereo extrinsics, and Camera-IMU spatial/temporal calibration
• Design calibration infrastructure including rigs, fixtures, software pipelines, and automated QA systems
• Implement factory-floor calibration procedures and field calibration drift monitoring

Requirements

• Hands-on multi-camera calibration experience (intrinsics, stereo, multi-rig)
• Fisheye distortion modeling expertise (Kannala-Brandt or equivalent)
• IMU calibration experience covering bias, alignment, Allan variance, and temperature curves
• Experience with calibration tooling and infrastructure for production
• Ability to work in both optics labs and software stacks

Preferred Qualifications

• Proficiency with OpenCV, Kalibr, or similar calibration frameworks
• ISP tuning experience on Qualcomm, NXP, or Ambarella platforms
• Background in AR/VR, autonomous vehicles, or research-grade capture devices
• Experience with Camera-IMU temporal alignment
• Manufacturing calibration line experience
• Expertise in uncertainty quantification and error analysis