Job Description

Title: Image Processing Specialist
Location: Pune
Exp: 5+ yrs
:

• Develop and enhance calibration algorithms for multi-camera systems.
• Implement procedures to correct lens distortion and camera misalignment.
• Develop algorithms for converting 2D images into 3D models and back to 2D projections.
• Apply mathematical techniques such as homography and projective transformations.
• Design and implement Visual SLAM algorithms for real-time localization and mapping.
• Utilize techniques for feature extraction, matching, and tracking.
• Integrate SLAM algorithms with data from other sensors (e.g., LiDAR, IMU) to enhance system performance.
• Continuously improve the performance of algorithm SW to ensure low latency and high accuracy in real-time, safety-critical automotive environments.
• Troubleshoot and resolve technical issues related to sensor data processing.
• Validate Algorithms using rea-world data and simulations.
• Work closely with hardware, software, and vehicle control engineers to integrate perception algorithms into Advanced Driver Assistance Systems (ADAS) and other safety features.
• Ensure all developed perception algorithms and safety systems comply with automotive industry safety standards, such as ISO 26262 for functional safety.

JOB REQUIREMENTS
Education/Experience

• Master's degree in electrical engineering, Electronics Engineering, Computer Science Engineering, or a related field.
• At least 5 years of hands-on experience in computer vision, image processing, and machine learning.
• Proficiency in programming languages such as C/C++, and Python.
• Experience with camera calibration techniques and tools (e.g., OpenCV, ROS).
• Strong understanding of perspective transformations and 3D reconstruction methods.
• Familiarity with Visual SLAM frameworks (e.g., ORB-SLAM, LSD-SLAM, RTAB-Map).

Technical Knowledge

• Experience with automotive ADAS systems and sensor fusion.
• Knowledge of deep learning techniques for computer vision applications.
• Experience with real-time processing and optimization techniques.
• Experience with machine learning algorithm development for embedded ECUs
• Knowledge of product development engineering practices in automotive field
• Knowledge of embedded software development in C/C++ for 16-bit and 32-bit micro-controllers such as PPC microcontrollers, ARM Core, or DSP
• Working knowledge in structured engineering approach
• Working knowledge in development of portable, reusable and modular software in automotive environment.
• Experience in using a disciplined software development process based on ASPICE or CMMi process model
• Working knowledge of configuration management (preferably PTC/MKS), project monitoring and control techniques
• Strong background in mathematics, signal/image/video processing
• Experience with version control (Git) and requirement management tools (like PTC Integrity)
• Knowledge of structured problem solving (8D) methods and/or techniques.

Skills Required