Software Engineer

Advance Sensing is hiring a Software Engineer to develop reliable and scalable software applications for machine vision systems, AI-powered industrial inspection platforms, industrial sensing solutions, automation systems and smart manufacturing applications.

The Software Engineer will work primarily with Python, Java and related software technologies to develop application software, backend services, data-processing modules, APIs, database integrations and industrial software interfaces. The role provides an opportunity to work on software that directly interacts with machine vision systems, industrial cameras, inspection stations, sensors, PLC systems and manufacturing data platforms.

This opportunity is suitable for fresh graduates and early-career software engineers who want to develop practical expertise in Python software development, Java application development, backend programming, databases, APIs, industrial software systems and Industry 4.0 applications.

Key Responsibilities

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.

Required Skills

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.

Preferred Technical Knowledge

Python application development and scripting.

Java and object-oriented software development.

SQL databases such as MySQL, PostgreSQL or similar database technologies.

REST API development and integration.

JSON data processing and structured data exchange.

Multithreading and asynchronous programming concepts.

TCP/IP, socket communication and basic networking concepts.

Basic understanding of frontend or desktop user interface development.

Data visualization and dashboard development concepts.

Software testing and debugging methodologies.

Git-based source code management and collaborative software development workflows.

Basic Linux and command-line knowledge.

Industrial Software Development Applications

Unlike conventional software development roles that focus only on isolated web or business applications, this Software Engineer position provides exposure to software that interacts with real industrial processes and manufacturing equipment.

Engineers may work on applications for machine vision inspection, quality data management, industrial traceability, image logging, defect analytics, production monitoring and intelligent manufacturing systems.

Machine vision inspection software applications.

AI-based defect detection software integration.

Industrial inspection result management systems.

Product traceability and quality record platforms.

Image logging and inspection database applications.

Production monitoring software.

Defect analytics and quality visualization applications.

Industrial sensor data acquisition software.

Smart factory and Industry 4.0 software applications.

ERP and manufacturing data integration modules.

Machine-to-software communication applications.

Python Development Responsibilities

Python is widely used across machine vision, AI, data processing, automation and industrial software development. The Software Engineer will use Python for application development, data processing, API integration, database communication and supporting engineering tools.

Candidates with knowledge of Python libraries, structured programming, object-oriented programming, data handling and API development will have opportunities to apply these skills to real industrial engineering applications.

Java Development Responsibilities

Java knowledge is valuable for developing structured, scalable and maintainable industrial software applications. Candidates should understand Java fundamentals, object-oriented programming, classes, inheritance, interfaces, exception handling and application development concepts.

The Software Engineer may contribute to backend services, business logic, data management applications, integration modules and software tools used within industrial inspection and manufacturing environments.

Software Integration with Machine Vision and Automation

Modern machine vision systems require more than image processing algorithms. Complete industrial inspection systems need application software for configuration, recipe management, inspection result storage, image logging, production statistics, traceability, user management, reporting and communication with factory systems.

The Software Engineer will contribute to building these software layers and will gain exposure to the interaction between software applications, machine vision cameras, AI models, industrial sensors, PLC systems and production databases.

What You Will Learn

This position provides practical exposure to software development within real industrial engineering environments. Engineers will learn how production-grade software is designed, developed, tested and integrated with physical manufacturing systems.

You will gain experience in application development, backend programming, database design, API integration, data processing, industrial communication and software deployment while collaborating with multidisciplinary engineering teams.

The role is suitable for engineers who want to develop a strong software engineering foundation while gaining specialized knowledge in machine vision, artificial intelligence, industrial sensing technology, automation and Industry 4.0 systems.

Why Join Advance Sensing?

Advance Sensing develops advanced machine vision systems, industrial sensing platforms, AI-powered inspection software and automation solutions for manufacturing applications. The Software Engineer role provides an opportunity to work on software products and engineering platforms that solve practical industrial quality and automation challenges.

Candidates looking for Software Engineer jobs in Bengaluru, Python Developer jobs for freshers, Java Developer careers in Karnataka, industrial software development jobs, machine vision software careers, automation software jobs and smart manufacturing software opportunities can build practical multidisciplinary experience through this position.

Working alongside machine vision engineers, AI-ML engineers, application engineers, automation engineers and mechanical engineers provides exposure to complete industrial systems rather than isolated software components.

Who Should Apply?

Fresh graduates and candidates with up to two years of experience in Python development, Java development, backend software development, database applications, API development or related programming areas are encouraged to apply.

Candidates should have strong interest in software engineering, logical problem solving and continuous learning. Academic projects, internships, GitHub repositories, programming projects, web applications, desktop software, backend applications or industrial software exposure will be considered valuable.

Apply for This Position

Interested candidates can submit their resume and professional details through the application form below. Candidates are encouraged to include relevant software development projects, internships, GitHub profiles, programming portfolios and technical project experience.

Software Engineer: Engineering Expertise, Applications and Industry Value

Advance Sensing Private Limited provides Software Engineer careers in machine vision, industrial automation and AI engineering for manufacturers seeking dependable, scalable and application-specific engineering. Based in Bengaluru, Karnataka, the company combines more than 30 years of industry leadership experience with a young, technically strong engineering team working across machine vision, industrial automation, artificial intelligence, robotics, industrial sensing and manufacturing intelligence.

Careers at Advance Sensing give early-career engineers the opportunity to work on real industrial problems involving machine vision, automation controls, software, AI, robotics, optics, sensors and mechanical system design. Candidates can gain exposure to customer applications, system architecture, proof-of-concept development, commissioning, validation and technical documentation while learning from industry veterans with more than 30 years of experience.

Industrial applications

Typical applications include machine vision engineering, automation controls, AI and machine learning, software development, mechanical design, application engineering and industrial commissioning. Every deployment should be engineered around the production environment, target defects, takt time, product variation, operator workflow, data requirements and acceptance criteria.

Why manufacturers evaluate Advance Sensing

Advance Sensing brings together machine vision, AI inspection, industrial cameras, optics, lighting, sensors, PLC connectivity, robotics and software in a unified engineering approach. This helps manufacturers reduce manual inspection dependency, improve defect detection consistency, strengthen traceability, automate repetitive operations and build a practical roadmap toward smart factory and Industry 4.0 adoption.

Frequently asked questions

How should a manufacturer choose a machine vision or automation partner?

Review proven application engineering capability, system integration experience, validation methodology, support model and the provider's ability to connect cameras, sensors, robotics, software and factory controls into one reliable production solution.

Does Advance Sensing provide customized systems?

Yes. Solutions are developed around the customer's product, defect criteria, process, line speed, environment, automation architecture and reporting needs rather than being limited to a one-size-fits-all platform.