Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
TDKSensEI is seeking a high-performing Computer Vision Sales that combines technical expertise in AI/imaging processing with sales strategy to drive revenue. Also as a dual role, the candidate is also required to seek AI predictive maintenance opportunities within the industrial sectors.
Responsible for research and development of methods for trustworthy AI, with a focus on uncovering security vulnerabilities and developing mechanisms for the secure and reliable deployment of AI systems.
C2-Scale Analytics Pipelines: Architect robust Python/C++ pipelines using frameworks like NVIDIA DeepStream, GStreamer, or OpenCV to execute concurrent video analytics across hundreds of live camera feeds.
Leverage hands-on experience in modeling to use, improve, fine-tune, and customise computer vision (CV) models, spanning both deep learning approaches (e.g. object detection, tracking, segmentation, visual embeddings) and classical techniques (e.g. multi-view geometry, camera calibration, feature extraction and matching).
Exceptions Monitoring: Perform real-time monitoring of system platforms, applications, ATM services and network infrastructure using enterprise monitoring tools and promptly escalate exceptions to corresponding support teams, in accordance with SOPs, for timely action.
Build and maintain production-grade embedded software for on-device computer vision inference (camera ingest, preprocessing, inference, postprocessing, telemetry) primarily in C++, with Rust as an option where appropriate.
The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.