Research Engineer, AI, Robotics & Simulation

About the Role

• Position: Research Engineer – AI, Robotics & Simulation
• Company: Keshava Elite Projects (KEP Labs)
• Work Mode: On-site
• Employment Type: Internship
• Compensation: Unpaid

What You’ll Work On

• Artificial Intelligence & Machine Learning

• Develop and evaluate AI/ML models.

• Explore deep learning, computer vision, and intelligent decision-making.

• Integrate AI capabilities into simulation and robotics systems.

• Robotics & Motion Planning

• Develop motion-planning and path-planning algorithms.

• Explore robot kinematics, dynamics, and navigation.

• Work with ROS/ROS 2 and robotics simulation environments.

• Investigate obstacle avoidance and trajectory optimization.

• Hardware & Physics Simulation

• Develop simulation models for electronic and embedded systems.

• Explore hardware behavior modeling and virtual prototyping.

• Work on sensor, actuator, and motor simulation.

• Validate simulation results against expected or real-world behavior.

• Research & Product Development

• Design experiments, analyze results, and benchmark algorithms.

• Build proofs-of-concept and research prototypes.

• Document technical findings and implementation approaches.

• Collaborate with software, AI, embedded, and robotics teams to turn research into working products.

Requirements & Tech Stack

• Strong Python programming and problem-solving skills.
• Fundamentals of AI/ML and mathematical modeling.
• Understanding of robotics, algorithms, or simulation concepts.
• Ability to research unfamiliar technical problems independently.
• Familiarity with Git/GitHub and technical documentation.

Good to Have

• ROS / ROS 2, Gazebo, or Isaac Sim.
• OpenCV, PyTorch, or TensorFlow.
• Motion planning algorithms such as A*, RRT, or RRT*.
• Robotics kinematics, dynamics, and control systems.
• C++ and numerical optimization.
• Embedded systems, sensor modeling, or physics engines.
• Experience with research papers, technical projects, or simulation prototypes.

Qualifications

• Candidates in Robotics, AI/ML, Mechatronics, Computer Science, Electronics, and related engineering fields.
• Researchers who enjoy experimentation and technical problem-solving.
• Engineers who want to build real products.
• Candidates with strong personal projects or research portfolios.