Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience troubleshooting technical issues for internal and external partners.
- 5 years of experience in software and hardware test automation, camera/optical systems validation, or related roles, including experience in mechanical fixture design and prototyping (e.g., 3D printing).
- Experience in system design or reading code (e.g., Python) for optical instrumentation, including cameras, actuators, motorized stages, and lasers/LEDs.
- Experience producing technical design and build documents (e.g., test and validation procedures to support hardware design workflow).
- Experience with camera calibration, computer vision, or optical testing and validation.
Preferred qualifications:- 8 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc).
About the jobIn this role, you will be at the intersection of hardware prototyping, robotics and software. You will design and build the physical test infrastructure - fixtures, multi-axis alignment rigs, and automated stages- that lets engineering teams verify sensor performance on XR hardware. You will also build the software that drives it: full-stack tools that control robotic testing and validation setup, capture data, and turn raw measurements into actionable results, and the setups are built to be scalable to be used by internal partners and external vendors. You are equally comfortable at a CAD workstation, a Python terminal, and an optical bench - and can translate a one-off lab setup into a documented, scalable system that other teams and AI-assisted tooling can build on.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $221000 (USD) 15% bonus target equity benefits
Responsibilities- Design custom optomechanical test fixtures and multi-axis motion control setups using 3D prototyping and rigorous mechanical alignment tolerances to validate AR/VR hardware.
- Develop full-stack software and automated calibration pipelines for camera intrinsics, extrinsics, and display alignment using Python and computer vision.
- Perform optical alignment and validation using reference targets, camera-based self-alignment, and automated simulation scripts prior to physical builds.
- Leverage AI-assisted development tools to build scalable automation software and document reusable test frameworks across future hardware programs.
- Partner cross-functionally with optics, mechanical, firmware, and manufacturing teams to transition lab-validated methods into scalable, production-ready infrastructure.
