C++ Engineer (Computer Vision)

Location: Gurugram | Work Mode: Work From Office Make Computer Vision run faster, smarter, and at scale. Awiros is a Series A-funded deep-tech company (~$7M raised) building the world’s first app-based Operating System for Computer Vision. Founded in 2015, our platform enables developers and enterprises to build, deploy, and scale AI-powered video applications across edge and cloud environments. We work at the intersection of Computer Vision, Deep Learning, C++, GPU computing, and distributed systems, building technology that processes real-time video and high-throughput workloads in real-world deployments. At Awiros, Computer Vision isn’t just about building a model that works. It’s about making that intelligence fast, efficient, reliable, and production-ready. THE ROLE: We’re looking for a C++ Computer Vision Engineer to build and optimize the systems that bring Computer Vision algorithms into production. You’ll work at the intersection of Computer Vision algorithms and high-performance software engineering - implementing vision pipelines, integrating AI models, optimizing inference, and building efficient components for real-time video analytics. You’ll work closely with our Computer Vision, AI, Platform, and Systems teams to take solutions from algorithm to deployment, with a strong focus on performance, reliability, and real-world constraints. WHAT YOU'LL WORK ON: Design and develop high-performance Computer Vision components and video processing pipelines in C++. Implement and optimize algorithms for object detection, tracking, recognition, segmentation, image processing, and other video analytics use cases. Integrate Deep Learning models into production inference pipelines. Optimize AI/CV workloads for latency, throughput, memory utilization, and compute efficiency. Work with GPU-accelerated inference and frameworks such as TensorRT, CUDA, or similar technologies. Profile applications, identify bottlenecks, and improve system-level performance. Work with model artifacts such as ONNX and integrate them into C++ inference pipelines. Build robust solutions for real-time video processing and large-scale deployments. Debug issues across the algorithm, application, inference, and hardware layers. Collaborate with Computer Vision and Platform engineers to integrate CV components into the broader Awiros ecosystem. Take ownership of features from implementation → optimization → integration → deployment. WHAT YOU BRING: Must Have Strong programming skills in C++. Strong understanding of Data Structures, Algorithms, and Object-Oriented Programming. Solid understanding of Computer Vision fundamentals. Hands-on experience with OpenCV or similar Computer Vision libraries. Understanding of image and video processing concepts such as image transformations, filtering, feature extraction, detection, tracking, and segmentation. Strong debugging and problem-solving skills. Experience developing…