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.

-Robust 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.

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru