Join us at the forefront of technological advancement in intelligent assistants and information retrieval. Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning. Our team builds large-scale distributed Vision AI platforms that power intelligent spaces, smart cities, retail analytics, and digital twins.
As a System Software Engineer for Vision AI, you will develop and optimize high-performance vision systems that turn massive streams of video, image, and 3D data into actionable insights. You will collaborate with specialists in perception, simulation, and large models to bring research into production at scale.
Key responsibilities include: Crafting and implementing high-performance Vision AI pipelines for real-time and streaming scenarios using brand-new computer vision and deep learning models. Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. Developing multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations. Driving technical build reviews, promoting guidelines for code quality and testing, and mentoring other engineers on Vision AI systems development.
We are looking for a highly skilled and experienced engineer who can contribute to the development of our Vision AI platforms. The ideal candidate will have a strong background in computer vision, deep learning, and software development, as well as excellent communication and collaboration skills.
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