SOFTWARE ENGINEERING INTERN

About the program About the Program EduRankAI is an Artificial Intelligence, Research, and Enterprise Technology organization dedicated to building foundational technologies that power the next generation of intelligent systems. Rather than focusing solely on application development, our engineering teams design and develop the core software infrastructure that enables modern computingfrom system software and programming languages to distributed AI platforms, cloudnative infrastructure, developer ecosystems, and enterprisescale software systems. The Software Engineering Internship is designed for aspiring engineers who want to build software from first principles. Interns will gain handson experience across the complete software stack, contributing to projects such as programming language design, compiler construction, runtime systems, operating system development, kernels, databases, distributed systems, networking, virtualization, cloud platforms, APIs, SDKs, software frameworks, developer tools, and scalable computing infrastructure. Depending on project requirements, interns may also contribute to the design of custom programming languages, compiler toolchains, operating system components, distributed computing frameworks, and highperformance software platforms. Working alongside software engineers, systems engineers, compiler engineers, AI researchers, infrastructure engineers, and platform architects, interns will participate in advanced engineering and research initiatives, including building Large Language Models LLMs from scratch, developing AI inference engines, agentic AI systems, machine learning infrastructure, distributed AI platforms, and enterprise software ecosystems. The internship emphasizes computer science fundamentals, systems thinking, software architecture, engineering excellence, performance optimization, scalability, security, and building technologies that serve as the foundation for future innovation. Key Responsibilities Design, develop, test, and maintain productiongrade software systems. Contribute to programming language, compiler, runtime, or operating system development projects. Build scalable backend services, APIs, SDKs, and software frameworks. Develop distributed systems, cloudnative applications, and platform infrastructure. Implement efficient algorithms and optimized data structures. Build and integrate databases, storage systems, and networking components. Develop tools for software automation, developer productivity, and deployment. Contribute to AI infrastructure, machine learning systems, and LLM engineering projects. Optimize software performance, scalability, reliability, and resource utilization. Perform debugging, profiling, testing, and root cause analysis. Participate in architecture reviews, code reviews, and engineering discussions. Write clean, maintainable, secure, and welldocumented code. Prepare technical documentation, engineering specifications, and design documents. Collaborate with multidisciplinary engineering, AI, product, and research teams. Perform additional software engineering assignments as required. Learning Outcomes Interns will gain practical exposure to: Software Engineering Software Architecture Systems Programming Programming Language Design Compiler Construction Operating System Development Kernel Fundamentals Runtime Systems Distributed Systems Cloud Computing HighPerformance Computing Database Systems Networking API SDK Development Software Framework Development Machine Learning Systems MLSys Large Language Model LLM Engineering AI Infrastructure Engineering Agentic AI Systems DevOps Platform Engineering Software Testing Quality Engineering Secure Software Development Performance Engineering Scalable System Design Open Source Software Engineering Eligibility Students pursuing or having completed: B.E.B.Tech in Software Engineering Computer Science Engineering Information Technology Computer Engineering Artificial Intelligence Data Science Electronics Computer Engineering Electronics Communication Engineering Mathematics Computing M.E.M.Tech in relevant disciplines MCA Any equivalent engineering or computing programme Knowledge of programming, algorithms, data structures, operating systems, computer networks, databases, or software development concepts will be an added advantage but is not mandatory. Department Engineering Qualification Type UG PG Qualification B.E. B.Tech M.E. M.Tech MCA Select Specialisation Software Engineering Computer Science Engineering Information Technology Computer Engineering Artificial Intelligence Data Science Electronics Communication Engineering Electronics Computer Engineering Mathematics Computing Any Relevant Engineering Discipline Perks Internship Certificate Letter of Recommendation (Performance Based) Mentorship from experienced software engineers, systems engineers, and AI researchers. Opportunity to contribute to live software products, developer platforms, AI infrastructure, and systems-level engineering projects. Exposure to programming language development, compiler construction, operating systems, distributed systems, cloud platforms, and Large Language Model engineering. Professional development sessions on software architecture, engineering excellence, system design, research methodologies, and technical leadership. Outstanding performers may be considered for extended internships, leadership opportunities, research initiatives, or future full-time positions based on organizational requirements. Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement Internship Type: Full-Time Duration: 3 Months Working Days: 6 Days per Week Total Engagement: Approximately 40 Hours Per Week (?480 Hours over 12 weeks) Project Work / Departmental Responsibilities: Approximately 5 Hours Per Day Holistic Well-being & Personal Development: Approximately 1 Hour 40 Minutes (1.67 Hours) Per Day, including physical fitness, mindfulness, reading, reflective learning, leadership development, community engagement, and other approved personal development activities. Weekly mentor reviews and performance evaluations will be conducted. Interns are expected to maintain professionalism, confidentiality, ethical conduct, and adherence to organizational policies. Internship Certificate will be awarded upon successful completion of internship requirements. Internship does not constitute an offer of employment. Number of openings 10