About the job
We are seeking a highly skilled Staff Software Engineer to design, implement, optimize, and deploy advanced computer vision and video analytics systems on resource-constrained edge computing platforms. This role has a strong emphasis on real-time surveillance, monitoring, and large-scale video intelligence applications.
Responsibilities
lead and contribute to research-driven development of computer vision algorithms, translating cutting-edge research into robust, production-grade systems; work closely with cross-functional engineering and research teams, you will design, train, and deploy models for video understanding, object detection, tracking, and event recognition in real-world surveillance environments; integrate modern computer vision frameworks and video streaming pipelines into embedded and edge software systems that power large-scale surveillance and media management solutions; document system architectures and research findings, troubleshoot and debug complex deployments, and continuously improve computer vision and media processing systems operating in the field
Qualifications
Minimum
Proven experience as a Software Engineer working on computer vision or video analytics systems, preferably in surveillance or monitoring contexts; Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or related research-intensive fields, with coursework or projects in computer vision or image processing; Strong programming experience in C++ and/or Python, with hands-on development of performance-critical computer vision pipelines; Solid understanding of multi-threading, asynchronous computing, coroutines, scheduling, and message-based systems used in real-time video processing; Proficiency with modern software engineering and debugging tools in Linux or embedded environments; Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Preferred
Demonstrated research experience in computer vision, including publications, patents, or applied R&D projects in areas such as object detection, tracking, video understanding, or scene analysis; Experience building surveillance, security, or intelligent video analytics systems, including camera pipelines, streaming, recording, and metadata extraction; Development experience with embedded systems and edge AI platforms optimized for real-time video processing; Strong problem-solving skills, self-motivation, and the ability to work independently while collaborating effectively with research and engineering teams