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.

Qualification15 years full time education