CVML Architect (CVML + Embedded SW)

Role: Senior Technical Leader – Embedded Computer Vision & Sensor Systems (CVML)

Location: Gurugram

Experience: 12+ Years

Work Mode: Full-time / Permanent (Hybrid)

Role Overview

We are seeking a highly experienced engineering leader with deep expertise in Embedded Computer Vision, Machine Learning (CVML), and camera/sensor-based systems to drive next-generation intelligent automation in manufacturing.

This role will lead the design and deployment of AI-powered vision systems integrated with cameras and sensors on embedded platforms, enabling real-time inspection, process control, and data-driven manufacturing excellence.

Key Responsibilities

• Lead the architecture, design, and deployment of CVML-based automation solutions on embedded platforms.
• Develop and implement real-time computer vision systems using camera-based inspection and sensor-driven data acquisition.
• Design and integrate machine vision systems, including camera modules, optics, lighting, and image sensors.
• Work with sensor-based systems (e.g., proximity sensors, LiDAR, IR, and sensor fusion) for intelligent automation.
• Deploy ML models on edge/embedded devices ensuring low latency and high performance.
• Provide technical leadership and mentorship to cross-functional engineering teams.
• Drive adoption of AI/ML and edge computing technologies in manufacturing processes.
• Collaborate with stakeholders to solve process, product, and equipment challenges using vision and sensor data.
• Lead capital equipment projects including vendor selection, system integration, and commissioning.
• Support new product introduction (NPI) with integrated CVML and sensor-based solutions.
• Execute process validation activities (IQ, OQ, PQ) and ensure compliance with regulatory standards.
• Perform Gauge R&R, process capability analysis, and statistical validation.
• Ensure adherence to engineering standards, quality systems, and documentation practices.

Required Qualifications

• Bachelor’s degree in Engineering (Electronics, Embedded Systems, Mechatronics, Computer Science, or related field).
• 12+ years of experience in embedded systems, industrial automation, and computer vision.
• Proven experience with camera-based vision systems and sensor integration in real-world applications.
• Strong expertise in deploying ML/CV models on embedded or edge devices.
• Proficiency in Python and/or C++ with experience in performance optimization.

Preferred Skills

• Hands-on experience with computer vision frameworks such as OpenCV, TensorFlow Lite, or PyTorch.
• Strong understanding of:
• Camera systems (area scan, line scan, calibration, optics, lighting)
• Image sensors and acquisition pipelines
• Sensor technologies (sensor fusion, LiDAR, IR, industrial sensors)
• Experience with real-time image processing, object detection, classification, and anomaly detection.
• Exposure to edge AI hardware (e.g., NVIDIA Jetson, Intel Movidius, or similar).
• Experience with industrial automation systems (PLCs, HMIs, robotics, machine vision systems).
• Knowledge of Design for Manufacturing (DFM) and production environments.
• Familiarity with quality and statistical tools (PFMEA, SPC, Gauge R&R).
• Experience with Lean, Six Sigma, and DMAIC methodologies.
• Strong leadership, stakeholder management, and communication skills.