Research Intern- Autonomous Perception & Navigation Systems

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Job Type

Internship

Job Description

About the Role


Research Intern


simulation environments, sensor-fusion pipelines, and embedded AI systems.


Key Responsibilities:


  • Support research and prototyping of

    AI/ML algorithms

    for perception, tracking, localization and navigation.
  • Work on

    multi-sensor fusion

    combining visual, inertial, and positional data for improved environmental understanding.
  • Train and test

    computer vision or deep learning models

    for

    detection, motion estimation, and environmental understanding

    .
  • Use high-fidelity

    simulations

    with

    physics-based environments

    to generate datasets and test autonomy pipelines.
  • Assist in

    integrating perception and navigation modules

    into flight-control or hardware-in-the-loop setups.
  • Optimize

    real-time inference and video/data streaming pipelines

    for embedded AI systems.


Skills & Qualifications:


  • Strong foundation in

    deep learning, computer vision, and state estimation

    .
  • Understanding of

    object detection, tracking, SLAM, and sensor-fusion techniques

    .
  • Proficiency in

    Python

    and familiarity with

    PyTorch/TensorFlow

    and

    OpenCV

    .
  • Experience working on

    Linux

    environments and basic knowledge of

    C++

    .
  • Familiarity with

    simulation tools

    (Gazebo, Webots,

    Isaac Sim) and

    autopilot frameworks

    (PX4, ArduPilot).

What you'll Gain:


  • End-to-end exposure to

    AI-driven autonomous navigation and perception systems

    .
  • Experience with

    simulation-driven development and testing

    of UAV autonomy algorithms.
  • Practical exposure to

    real-time AI model deployment

    on embedded hardware.
  • Opportunity to contribute to

    next-generation UAV guidance and autonomy research

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