Internship in embedded systems Jobs

AI RoboƟcs Research Intern – LLM/VLA for RoboƟcs
Vegam Solutions —Hubli, Karnataka
- Computer Science
- Research
- Master's degree
Quick apply
6h
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AI RoboƟcs Research Intern – LLM/VLA for RoboƟcs

Vegam Solutions
Hubli, Karnataka

Quick apply

Job details

Internship
6 hours ago

Qualifications

Image processing
Law
Computer Science
Computer vision
Research
Master's degree
Bachelor's degree
Machine learning
Linux
Data science
AI
Python

Full job description

Job DescripƟon – AI RoboƟcs Research Intern – LLM/VLA for RoboƟcs

Internship: Full-Ɵme Internship for 6 months

Department: AI & RoboƟcs

LocaƟon: Hubli (Work from Office)

KLE-CTIE, C-LITE Building (Ground Floor, opposite the BT building), inside the KLE

Technological University (BVB Campus), Vidyanagar, Hubli, Karnataka 580031

About Vegam

Vegam SoluƟons is a technology-driven product engineering company focused ondeveloping innovaƟve industrial soŌware, AI-powered soluƟons, automaƟon technologies,and intelligent roboƟcs systems. We combine engineering excellence with emergingtechnologies to solve real-world industrial challenges and build next-generaƟon products that drive digital transformaƟon.

At Vegam, innovaƟon, experimentaƟon, and conƟnuous learning are at the core of what we do. We encourage engineers and researchers to explore cuƫng-edge technologies and transform ideas into impacƞul soluƟons.

About the Role

We are seeking an enthusiasƟc AI RoboƟcs Research Intern – LLM/VLA for RoboƟcs to work at the intersecƟon of roboƟcs, Vision-Language Models (VLMs), Large Language Models (LLMs), and Physical AI, with a focus on improving roboƟc percepƟon, manipulaƟon, and autonomous roboƟcs workflows.

This internship offers an opportunity to contribute to research and experimentaƟon with AI driven roboƟc systems, helping build intelligent roboƟc soluƟons capable of reasoning, percepƟon, and autonomous decision-making.You will work closely with AI, roboƟcs, and engineering teams to evaluate emerging technologies and prototype soluƟons to advance roboƟcs intelligence.

Key ResponsibiliƟes

AI Research & Model EvaluaƟon

 Benchmark LLMS and Vision-Language models for roboƟcs percepƟon and

manipulaƟon tasks.

 Evaluate AI models for scene understanding, object recogniƟon, reasoning, and

roboƟc decision-making.

 Analyse model performance across roboƟcs workflows and experimental

environments.

 Conduct comparaƟve evaluaƟons to idenƟfy opportuniƟes for improvement.

RoboƟcs AI Development

 Build and support ROS2-based experimental AI pipelines.

 Assist in developing prototypes that integrate AI models with roboƟcs workflows.

 Explore Physical AI concepts to enhance roboƟc autonomy and intelligence.

 Contribute to experiments involving percepƟon systems and robot reasoning.

Research & DocumentaƟon

 Read, analyse, and implement concepts from research papers and technical

literature.

 Document experimental findings, comparaƟve analyses, and R&D observaƟons.

 Prepare technical reports and maintain research documentaƟon.

 Present insights and recommendaƟons to engineering stakeholders.

Required Skills & QualificaƟons

 Pursuing or recently completed a Bachelor's/Master's degree in:

o Computer Science

o ArƟficial Intelligence

o RoboƟcs

o Electronics & CommunicaƟon

o Mechatronics

o Data Science

o Embedded Systems

o Or related disciplines

 Strong interest in GeneraƟve AI and RoboƟcs.

 Familiarity with Python programming.

 Basic understanding of Computer Vision and Machine Learning concepts.

 Exposure to ROS/ROS2 or to roboƟcs frameworks is preferred.

 Strong analyƟcal thinking and an experimentaƟon mindset.

 Comfortable working with research papers and implemenƟng technical ideas.

 Ability to rapidly prototype and iterate on soluƟons.

 Good documentaƟon and communicaƟon skills.

Preferred Exposure

 Large Language Models (LLMs)

 Vision-Language Models (VLMs)

 Computer Vision concepts

 ROS / ROS2 ecosystem

 Python-based AI development

 RoboƟcs percepƟon systems

 Machine Learning workflows

 Linux environments

What You Will Gain

 Hands-on experience working with cuƫng-edge AI and roboƟcs technologies.

 Exposure to Physical AI and intelligent autonomous systems.

 Opportunity to contribute to applied research and innovaƟon iniƟaƟves.

 Experience building AI-powered roboƟcs workflows.

 Mentorship from experienced AI and roboƟcs engineers.

 A fast-paced environment focused on learning, experimentaƟon, and product

innovaƟon.

Join Vegam and help shape the future of intelligent roboƟcs powered by AI, autonomy,

and innovaƟon.

Work Location: In person

Quick apply

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