Job Title

Senior Vision AI Engineer – Lead (IC + Leadership Role)Location: Hyderabad (Work From Office)Experience: 7–10 yearsAbout the RoleWe are looking for a Senior Vision AI Engineer who can operate as a technical lead while remaininghands-on as an IC. You will architect, build, and deploy end-to-end Computer Vision & DeepLearning solutions and guide junior engineers while independently driving complex modules.Key Responsibilities1. Technical Leadership (IC + Lead)- Lead vision AI modules end-to-end while remaining deeply hands-on.- Mentor junior engineers through code reviews and technical guidance.- Influence architectural decisions and own critical components of the CV pipeline.2. Computer Vision & Deep Learning Engineering- Design and develop end-to-end CV pipelines.- Build and deploy models for object detection, tracking, segmentation, and classification.- Train and evaluate DL models using PyTorch, TensorFlow, ONNX.- Implement classical CV algorithms and video analytics.3. Edge AI & Deployment- Deploy optimized models on NVIDIA Jetson, Qualcomm QRide, GPU/DSP/NPU accelerators.- Work with TensorRT, ONNX Runtime, quantization, pruning, and optimization.- Develop high-performance C++ and Python modules for embedded CV applications.4. System Design & Architecture- Architect scalable CV systems using OOAD, SOLID, and design patterns.- Design real-time pipelines with clear dataflows and memory management.- Collaborate with hardware, firmware, backend, and product teams.5. Deployment, Performance & MLOps- Build production-ready inference pipelines and benchmarking systems.- Work with Docker, CI/CD pipelines, and Git repositories.- Support deployments across global client environments.Required Skills & Experience- 7–10 years of experience with 5+ years in Computer Vision/Deep Learning.- Strong coding in C++ (11/14/17) and Python.- Experience with CNNs (YOLO/ResNet/UNet), OpenCV, and classical CV.- Experience deploying on Jetson/DSP/NPU hardware.- Solid understanding of design patterns and system engineering.Nice-to-Have- Experience in ADAS, robotics, autonomous systems, or industrial vision.- Knowledge of MLOps, cloud deployment, and containerization.Role NoteThis is a senior individual contributor role with leadership responsibility. Applicants must havehands-on CV/DL experience and prior experience leading modules or mentoring engineers.