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 2 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. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.