In the Systems Validation Engineer role you will be directly responsible for developing implementing and executing full end-to-end validation plans for user inputs and display outputs of complex head-mounted devices. This requires someone with a strong capacity to understand the workings of multi-sensor computer vision systems the software that utilizes the sensors and the mechanical fundamentals that these systems rely upon for forming and maintaining their responsibilities will include working with various cross-functional partners to understand the mechanical design of the system sensor architecture software algorithms and factory support engineers who deploy your work. This is a very cross-functional role where you will collaborate closely with experts from diverse domains including Product Design Electrical Engineering (EE) System Architecture Calibration Algorithms and Reliability to validate that our products deliver an excellent user experience.
BS in a relevant field (ME mechatronics EE physics systems engineering)
6 years of work experience in a product-based company in a multi-disciplinary role with a focus on validation of user-facing product performance metrics
Strong hands-on skills in physical lab work with hardware analysis of large result datasets and scripting (Python Matlab)
Ability to distill complex multi-variable information into concrete conclusions and tie them to high level product performance requirements
Comfort with ambiguity when driving validation of new or existing metrics and using this to push for practical additions or revisions to product specifications
Excellent communication and presentation skills with the ability to present highly technical topics and deep dives to leadership teams
Proficiency in mechanical CAD (NX etc.) data analysis in Python or Matlab shell scripting test automation
10 years of relevant work experience with a significant portion in validation of consumer products involving complex opto-mechanical and/or electro-optical systems
Deep understanding of the interplay between various sub-systems (e.g. optics displays sensors computer vision algorithms) and their collective impact on overall user experience and system performance
Experience with the full product development lifecycle from initial concept and architecture through to mass production
Demonstrated expertise in validation of one or more relevant sub-system domains: advanced display technologies optical systems sensor integration computer vision pipelines for interaction
Familiarity with mechanical fundamentals like thermal expansion creep resonant modes
Experience developing motion trajectories for robotic arm systems setting up machine vision systems for measurement and calibration
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