IBM Research Software Intern Recruitment 2026
IBM Research Summer Internship 2027 – AI, Data, Software Innovation and Quantum Computing
IBM India invites eligible students to explore research and software innovation opportunities through IBM Research – India and the Software Innovation Lab. The internship offers practical exposure to current research and development projects with experienced mentors.
Depending on the selected track, interns may work on artificial intelligence, generative AI, large language models, AI agents, data technologies, software innovation or quantum computing.
Applicants should review the official job description carefully because technical requirements vary by internship track.
- Software Innovation Lab – AI & Data: Python programming, data analysis, machine learning, AI applications and unstructured data processing.
- Research Intern – AI: AI and machine learning research, deep learning, foundation models, large language models, transformers and AI agents.
- Research Intern – Quantum Algorithms: Quantum computing algorithms, Qiskit programming and implementation of research-paper methods.
- Candidates should be currently pursuing an eligible degree in a relevant technical or research discipline.
- Eligible programmes include B.E./B.Tech, M.E./M.Tech (including dual-degree programmes) and Ph.D.
- A minimum of 70% marks or 7.0 CGPA in the pursuing degree is specified in the available job information.
- Applicants must be able to participate during the May–August 2027 internship period, for up to three months.
- Relevant programming, research or project experience should match the chosen internship track.
For AI & Data roles:
- Python programming, including NumPy and Pandas.
- Data structures, algorithms and problem-solving skills.
- Fundamentals of linear algebra, probability and statistics.
- Machine learning and deep learning concepts.
- Familiarity with TensorFlow or PyTorch, Git and Jupyter Notebooks.
For AI Research roles:
- Python and machine learning / deep learning fundamentals.
- Familiarity with LLMs, generative AI, transformers and NLP.
- Knowledge of AI agents, model training or research implementation is beneficial.
- Ability to read research papers, reproduce results and conduct experiments.
For Quantum Algorithms:
- Understanding of quantum computing fundamentals and quantum algorithms.
- Strong coding skills in Qiskit.
- Ability to analyse research papers and implement proposed methods.
- Prior research experience in quantum algorithms or large-scale demonstrations may be beneficial.
- Experience with AI frameworks and foundation models.
- Familiarity with LangChain or CrewAI for relevant AI and data projects.
- Knowledge of reinforcement learning, model fine-tuning or AI agent systems.
- Experience using Git, VS Code and Jupyter Notebooks.
- Exposure to Docker, Kubernetes, Hugging Face or AI accelerator technologies where relevant.
- For quantum research, familiarity with Qiskit and classical optimisation or machine learning may be useful.
These skills are track-dependent. Refer to the official listing for the requirements that apply to your preferred area.
- Open the official IBM Careers job listing using the button below.
- Confirm Job ID 137471 and check that applications are still being accepted.
- Review the eligibility requirements for your preferred research or software track.
- Prepare an updated resume highlighting academic performance, relevant projects, technical skills and research work.
- Sign in or create an IBM candidate account and complete the online application.
- Submit your application and save any confirmation details.
Official application and recruitment information: IBM Careers. Published by naukrinotice.com for informational purposes.
