Location: Hyderabad Job Type: Full-Time Domain: Industrial Automation / Robotics / Inspection Systems Job Summary: We are looking for a hands-on and skilled Robotics & Automation Engineer to lead the integration of robotic systems into our advanced inspection setup. The ideal candidate will work closely with the hardware, vision, and software teams to automate movement, handling, and coordination of robotic systems with imaging and processing workflows. Key Responsibilities: Design, integrate, and program robotic arms (cobots or industrial robots) for automated inspection workflows. Develop end-effector tools and motion sequences to handle components (e.g., turbine blades, machined parts) with precision. Interface robot controllers with vision systems, PLCs, and inspection software. Create and optimize automated routines for object positioning, pick-and-place, and synchronized imaging. Collaborate with electrical and mechanical engineers to align hardware design with robotic workflows. Configure safety zones, teach points, and fail-safe operations. Maintain logs, testing procedures, and integration documentation. Required Skills: Strong experience in industrial robot programming (e.g., UR, FANUC, ABB, KUKA, or similar). Hands-on integration of robots with vision systems, PLCs, or motion controllers. Experience with ROS, Python, or C++ for automation control (preferred). Familiarity with industrial communication protocols: Modbus, Ethernet/IP, PROFINET, etc. Good understanding of mechanical fixtures, kinematics, and coordinate transformations. Ability to read and work from mechanical and electrical schematics. Good to Have: Experience in inspection systems (e.g., machine vision, defect detection, or OCR). Exposure to structured light, high-resolution imaging, or illumination systems. Experience with simulation tools like RoboDK, V-REP, or MATLAB Robotics Toolbox. Prior work with cobots in a human-safe environment. Education: B.E. / B.Tech / M.Tech in Mechatronics, Robotics, Mechanical, Electronics, or related fields. What We Offer: Opportunity to work on cutting-edge inspection technology. Cross-functional exposure to AI, machine vision, and automation. Supportive, technically focused team. Competitive salary and flexible work culture.
Position : Machine Vision & Imaging AI Engineer Location : THub Hyderabad Company : Meridian Data Labs Type : Full-time | On-site Experience : 2–6 years (flexible for the right candidate) About Us Meridian Data Labs is a deep-tech startup working at the intersection of computer vision, AI/ML, and edge computing . We design and build cutting-edge imaging systems and AI solutions for defense, aerospace, and industrial clients. Our work spans robotics, video analytics, inspection systems, and 3D reconstruction. Role Overview We are seeking a hands-on engineer with strong expertise in Machine Vision and AI/ML for Image and Video Processing . You will help develop high-performance vision systems that combine precise hardware with intelligent software for real-world applications. Key Responsibilities Machine Vision Design and integrate camera systems (industrial, stereo, depth, thermal, etc.) Select and configure lenses, lighting setups (structured, backlight, coaxial, etc.) Interface with frame grabbers, image acquisition libraries (e.g., GenICam, Spinnaker, etc.) Calibrate vision systems (intrinsic/extrinsic, multi-camera setups) Work closely with hardware and robotics teams for vision system integration AI/ML for Imaging and Video Develop deep learning models for object detection, segmentation, classification Build pipelines for image/video preprocessing, augmentation, and real-time inference Work on 3D reconstruction from stereo, multi-view, or structured light data Implement and optimize models for deployment on edge devices (NVIDIA Jetson, etc.) Collaborate on dataset creation, annotation, and model validation Required Skills & Qualifications B.E./B.Tech or M.S./M.Tech in Computer Science, ECE, Robotics, or related fields Strong knowledge of computer vision and imaging fundamentals Experience with OpenCV, PyTorch/TensorFlow, and image processing libraries Experience with industrial cameras (e.g., Basler, FLIR), lighting systems, and lenses Understanding of camera interfaces (USB3, GigE, MIPI, etc.) Hands-on experience in AI model training, deployment, and tuning for real-world data Bonus (Good to Have) Exposure to robotics and automation systems Experience in real-time video analytics or embedded systems Experience with 3D data (point clouds, photogrammetry, stereo vision) Familiarity with frameworks like ROS, NVIDIA DeepStream, Open3D, etc. What We Offer Opportunity to work on high-impact, mission-critical systems Cross-disciplinary learning in hardware-software integration Fast-paced startup environment with real ownership Work with cutting-edge tech in defense and aerospace domains To Apply : Send your resume and portfolio (if available) to somesh@meridiandatalabs.com
Location: Hyderabad, India Employment Type: Full-time | On-site Experience: 8–15 years About the Role We’re seeking a Sensor Systems Lead / Architect to design and operationalize complex, defense-grade sensor networks for Honeycomb , our on-premise real-time IoT and analytics platform. You will architect sensor intelligence pipelines, ensuring data integrity from physical acquisition to edge analytics and AI — working across hardware, embedded, and data teams to deliver reliable sensing architectures for harsh environments. Key Responsibilities Architect end-to-end sensor data pipelines — acquisition, conditioning, synchronization, fusion, and edge transmission. Define integration frameworks and hardware abstraction layers for Honeycomb Edge/Core. Lead sensor selection, validation, and qualification for industrial, mobility, and defense domains. Design and manage multi-sensor networks (IMU, vibration, acoustic, visual, environmental, positional). Oversee signal conditioning, calibration, and diagnostics for deterministic performance. Implement standards for time sync (PTP/NTP/GPS) and data fidelity across distributed systems. Collaborate with embedded and AI teams to optimize preprocessing, compression, and fusion algorithms. Work with vendors on custom sensor modules and rugged enclosures. Ensure EMC compliance, ruggedization, and operational qualification in field environments. Lead architecture reviews, documentation, and mentor teams on integration practices. Contribute to roadmaps for sensor intelligence (predictive calibration, self-diagnostics). Requirements Technical Expertise 5+ years designing and deploying sensor systems in industrial, defense, or high-reliability environments. Strong grasp of motion, pressure, temperature, flow, acoustic, optical, and environmental sensors. Expertise in signal processing, noise reduction, and sensor fusion (Kalman, complementary, adaptive). Familiarity with RS485, CAN, Modbus RTU/TCP, Ethernet, MQTT, OPC-UA. Experience with embedded systems (STM32, ESP32) and hardware-software co-design. Proven ability to build scalable, deterministic data acquisition systems. Bonus: AI-assisted sensing, computer vision, or autonomous sensing experience. Leadership & Delivery Translate mission requirements into robust architectures. Lead multi-disciplinary engineering teams. Excellent documentation and communication skills. Hands-on problem solver from lab to field. Experience ensuring reliability at deployment scale. Preferred Qualifications B.E./M.Tech/Ph.D. in Electronics, Instrumentation, Mechatronics, or Electrical Engineering. Prior experience in defense, aerospace, industrial IoT, or automotive sensor systems. Exposure to on-premise data and edge AI workflows. Why Join Us At Meridian Data Labs , we build platforms — not prototypes. Your work will define how data is sensed, validated, and transformed into insight across defense, energy, and industrial systems, powering next-generation edge intelligence — all without the cloud.
Location: Hyderabad, India Employment Type: Full-time | On-site Experience: 815 years About the Role We're seeking a Sensor Systems Lead / Architect to design and operationalize complex, defense-grade sensor networks for Honeycomb , our on-premise real-time IoT and analytics platform. You will architect sensor intelligence pipelines, ensuring data integrity from physical acquisition to edge analytics and AI working across hardware, embedded, and data teams to deliver reliable sensing architectures for harsh environments. Key Responsibilities Architect end-to-end sensor data pipelines acquisition, conditioning, synchronization, fusion, and edge transmission. Define integration frameworks and hardware abstraction layers for Honeycomb Edge/Core. Lead sensor selection, validation, and qualification for industrial, mobility, and defense domains. Design and manage multi-sensor networks (IMU, vibration, acoustic, visual, environmental, positional). Oversee signal conditioning, calibration, and diagnostics for deterministic performance. Implement standards for time sync (PTP/NTP/GPS) and data fidelity across distributed systems. Collaborate with embedded and AI teams to optimize preprocessing, compression, and fusion algorithms. Work with vendors on custom sensor modules and rugged enclosures. Ensure EMC compliance, ruggedization, and operational qualification in field environments. Lead architecture reviews, documentation, and mentor teams on integration practices. Contribute to roadmaps for sensor intelligence (predictive calibration, self-diagnostics). Requirements Technical Expertise 5+ years designing and deploying sensor systems in industrial, defense, or high-reliability environments. Strong grasp of motion, pressure, temperature, flow, acoustic, optical, and environmental sensors. Expertise in signal processing, noise reduction, and sensor fusion (Kalman, complementary, adaptive). Familiarity with RS485, CAN, Modbus RTU/TCP, Ethernet, MQTT, OPC-UA. Experience with embedded systems (STM32, ESP32) and hardware-software co-design. Proven ability to build scalable, deterministic data acquisition systems. Bonus: AI-assisted sensing, computer vision, or autonomous sensing experience. Leadership & Delivery Translate mission requirements into robust architectures. Lead multi-disciplinary engineering teams. Excellent documentation and communication skills. Hands-on problem solver from lab to field. Experience ensuring reliability at deployment scale. Preferred Qualifications B.E./M.Tech/Ph.D. in Electronics, Instrumentation, Mechatronics, or Electrical Engineering. Prior experience in defense, aerospace, industrial IoT, or automotive sensor systems. Exposure to on-premise data and edge AI workflows. Why Join Us At Meridian Data Labs , we build platforms not prototypes. Your work will define how data is sensed, validated, and transformed into insight across defense, energy, and industrial systems, powering next-generation edge intelligence all without the cloud.