Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Automotive ECU Software

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Computer Vision Engineer, you will be responsible for designing, developing, and optimizing computer vision algorithms and software solutions. You will work closely with AI/ML engineers, software developers, system engineers, and testing teams to develop reliable, high-performance vision solutions for real-world applications. Roles & Responsibilities:

• Design, develop, and optimize computer vision algorithms using C/C++.
• Develop solutions for image processing, object detection, tracking, classification, and segmentation.
• Implement and optimize vision algorithms for real-time applications.
• Analyze requirements and translate them into technical and software solutions.
• Integrate computer vision algorithms with existing software platforms and APIs.
• Perform debugging, profiling, optimization, and performance analysis.
• Develop unit and integration tests for computer vision components.
• Collaborate with ML teams for integration and deployment of AI/ML-based vision models.
• Support software integration, validation, and troubleshooting activities.
• Participate in code reviews and maintain technical documentation. Professional & Technical Skills:
• 3+ years of experience in C/C++ and Computer Vision development.
• Strong programming skills in modern C/C++ (C++11/14/17).
• Hands-on experience with OpenCV and image processing techniques.
• Good understanding of computer vision fundamentals, including image filtering, feature extraction, transformations, calibration, and geometric vision.
• Experience with object detection, object tracking, segmentation, and classification.
• Knowledge of deep learning-based computer vision using frameworks such as PyTorch or TensorFlow is preferred.
• Experience with CUDA/GPU acceleration and performance optimization is an advantage.
• Good understanding of data structures, algorithms, multithreading, and memory management.
• Experience with Linux, Git, CMake, and debugging/profiling tools.
• Experience developing real-time or embedded vision applications is preferred.
• Knowledge of automotive ADAS, camera systems, image sensors, or autonomous driving is an added advantage.
• Exposure to CI/CD, unit testing, static analysis, and software quality practices.
• Strong problem-solving and analytical skills.
• Good understanding of software engineering and computer vision principles.
• Strong debugging and performance-optimization capabilities.
• Good communication and cross-functional collaboration skills.
• Ability to work independently and take ownership of technical tasks.
• Strong focus on code quality, performance, and reliability. Additional Information:
• Bachelor s or Master s degree in Computer Science, Electronics, Electrical Engineering, Artificial Intelligence, or a related field.
• Relevant certification or coursework in Computer Vision, AI/ML, or Image Processing is an added advantage.