Advance Sensing

B.E / B.Tech or equivalent technical qualification

• Good understanding of software programming fundamentals and object-oriented programming concepts.

• Knowledge of Python programming and Python application development.

• Basic knowledge of Java programming and object-oriented application development.

• Understanding of data structures, algorithms and logical problem solving.

• Knowledge of functions, classes, modules, exception handling and file operations.

• Basic understanding of SQL and relational database concepts.

• Knowledge of REST APIs, JSON and software communication concepts is preferred.

• Basic understanding of Git or similar version control systems.

• Strong analytical, debugging and troubleshooting skills.

• Ability to understand technical requirements and convert them into structured software solutions.

• Interest in industrial automation, machine vision, AI-powered inspection and smart manufacturing technology.

• Design, develop, test and maintain software applications using Python, Java and related programming technologies.

• Develop software modules for industrial machine vision systems and automated inspection applications.

• Build reliable backend services for processing inspection results, machine data and production information.

• Develop APIs and software interfaces for communication between industrial applications and external systems.

• Work with databases for storing inspection results, image information, traceability records and production data.

• Develop data-processing applications for machine vision inspection and industrial sensing platforms.

• Support integration of software applications with machine vision systems, industrial cameras, sensors and automation equipment.

• Develop software tools for configuration, monitoring, reporting and visualization of industrial inspection data.

• Perform software debugging, testing, optimization and performance improvement.

• Write clean, structured, maintainable and reusable application code.

• Participate in software architecture discussions, technical reviews and application development planning.

• Collaborate with machine vision engineers, AI-ML engineers, application engineers and automation engineers.

• Prepare technical documentation, software release notes and application configuration documentation.

• Support software installation, testing and commissioning of industrial systems when required.