**key responsibilities**: - develop and implement computer vision algorithms for edge devices, including object detection, recognition, tracking, and segmentation. - optimize computer vision algorithms to run efficiently on edge devices with limited computational resources. - design and implement software architecture for computer vision systems on edge devices. - collaborate with hardware engineers to optimize performance and minimize power consumption. - test and evaluate computer vision algorithms on various edge devices to ensure functionality and performance. - stay up-to-date with the latest research and advancements in computer vision and machine learning. **requirements**: - bachelor's or master's degree in computer science, electrical engineering, or related field. - strong proficiency in computer vision libraries such as opencv, tensorflow, and pytorch. - experience with low-level programming languages such as c++ and cuda. - familiarity with hardware design and optimization for edge devices. - ability to work in a team environment and communicate effectively with cross-functional teams. **how we work**: - we use microsoft teams for daily communication, conduct daily standups and team meetings over teams. - we value open discussion, ownership, and a founder mindset. - we prioritize design, amazing ui/ux, documentation, to-do lists, and data-based decision-making. - we encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year. - we offer a 100% remote workplace mod...
**key responsibilities**: - develop and implement computer vision algorithms for edge devices, including object detection, recognition, tracking, and segmentation. - optimize computer vision algorithms to run efficiently on edge devices with limited computational resources. - design and implement software architecture for computer vision systems on edge devices. - collaborate with hardware engineers to optimize performance and minimize power consumption. - test and evaluate computer vision algorithms on various edge devices to ensure functionality and performance. - stay up-to-date with the latest research and advancements in computer vision and machine learning. **requirements**: - bachelor's or master's degree in computer science, electrical engineering, or related field. - strong proficiency in computer vision libraries such as opencv, tensorflow, and pytorch. - experience with low-level programming languages such as c++ and cuda. - familiarity with hardware design and optimization for edge devices. - ability to work in a team environment and communicate effectively with cross-functional teams. **how we work**: - we use microsoft teams for daily communication, conduct daily standups and team meetings over teams. - we value open discussion, ownership, and a founder mindset. - we prioritize design, amazing ui/ux, documentation, to-do lists, and data-based decision-making. - we encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year. - we offer a 100% remote workplace mod...
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