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.
- Robust leadership, stakeholder management, and communication skills.

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