Teams at SQUAD (squad.tech)

Perform image-quality testing for security cameras across laboratory and outdoor environments. Develop automated tests using scripting tools, troubleshoot software issues through log analysis, conduct regression testing, document defects, and verify compliance with product requirements. Collaborate with device engineering throughout product development and improve QA processes and testing methodologies.

Develop and validate image quality for home security cameras across varied lighting and environments. Collaborate with embedded software and hardware teams, interpret feature requirements, conduct laboratory testing, evaluate performance metrics, and provide feedback to software engineers. The role may involve image processing, objective image quality assessment, camera technologies, sensors, optics, illumination, and Python programming.

Design and lead the evolution of machine learning inference platforms for embedded and host environments. Responsibilities include model profiling and conversion, hardware bring-up, distributed inference optimization, resource management for constrained devices, testing framework and CI/CD architecture, automated hardware testing, production monitoring, technical reviews, cross-functional architecture decisions, mentoring, and technical debt reduction.