ONLY for immediate Joiners Experience: 1+ years About the Role: We are seeking a highly skilled and motivated Computer Vision Engineer with expertise in AI/Deep Learning , Python , and C++ , to join our on-site team in Ahmedabad . The ideal candidate will have hands-on experience working within the Nvidia ecosystem , especially with DeepStream SDK , and a strong understanding of real-time video analytics and edge computing. Key Responsibilities: Design, develop, and deploy real-time computer vision applications using AI and deep learning. Work extensively with Nvidia DeepStream SDK , TensorRT, CUDA, and other tools in the Nvidia ecosystem. Optimize deep learning models for deployment on edge devices like Jetson (Nano, Xavier, Orin). Write efficient and maintainable code in Python and C++ . Integrate models into pipelines for video analytics, object detection, tracking, and behavior analysis. Collaborate with cross-functional teams (ML, software, hardware) for system design and deployment. Benchmark and profile applications to meet performance requirements in real-time environments. Required Skills: Strong experience with Python and C++ in a production environment. Hands-on expertise with Computer Vision libraries (OpenCV, NVIDIA VisionWorks, etc.). Experience with Nvidia DeepStream SDK , GStreamer pipelines, and TensorRT. Good understanding of neural network architectures (YOLO, SSD, Faster R-CNN, etc.). Experience with deploying models on Nvidia Jetson or similar embedded devices. Familiarity with Linux-based development and debugging tools. Nice to Have: Knowledge of edge AI deployment strategies. Experience with camera integration, video feeds, and real-time inference. Background in multi-camera or multi-object tracking systems. Familiarity with containerization (Docker) and CI/CD pipelines. Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. What We Offer: Competitive salary and performance bonuses as ESOPs. Opportunity to work on cutting-edge AI applications. A collaborative and innovative team environment. On-site role with access to high-end hardware and compute infrastructure. Apply Now to be part of a team that's pushing the boundaries of AI-driven video intelligence.
