Navi Mumbai Maharashtra Site engineer intern Jobs – 3 Open Jobs Today

AI Robotics Engineer Intern (UAV/PX4)
ideaForge —Navi Mumbai, Maharashtra
- C++
- Machine learning
- Linux
Site Engineer Intern
Samrudhdi Health Equipments pvt. ltd. —Taloja, Navi Mumbai, Maharashtra
- ₹10,000 - ₹20,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
- Health insurance
- Paid time off
Quick apply
11d
Associate Engineer-Civil(BESS)
Black & Veatch Family of Companies —Vikhroli, Mumbai, Maharashtra
- Full-time
- Remote
- AutoCAD
- Civil engineering
- Engineering
- Health insurance
- Paid time off

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AI Robotics Engineer Intern (UAV/PX4)
ideaForge —Navi Mumbai, Maharashtra
The selected intern will primarily research, design, and implement the most suitable approach for integrating these trained models into the PX4 ecosystem,…
Site Engineer Intern
Samrudhdi Health Equipments pvt. ltd. —Taloja, Navi Mumbai, Maharashtra
Assist site engineers in supervising daily construction activities. Knowledge of construction drawings and technical documents is an advantage.
₹10,000 - ₹20,000 a month
Quick apply
11d

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AI Robotics Engineer Intern (UAV/PX4)

ideaForge -
Navi Mumbai, Maharashtra

Apply Now

Job details

Internship

Qualifications

TensorFlow
PyTorch
Git
C++
C
Machine learning
Deep learning
Linux
AI
Python

Full job description

R&D - Software

Navi Mumbai (On-Site)

Interns/Freshers/Entry Level

Internship

Job Description

Project Overview

We are looking for a highly motivated R&D Intern to support the integration of AI-based flight control algorithms into the PX4 Autopilot framework.

The project focuses on deploying pre-trained neural network models (including Feedforward Neural Networks, LSTM, and GRU architectures) for UAV attitude control and payload control. The selected intern will primarily research, design, and implement the most suitable approach for integrating these trained models into the PX4 ecosystem, enabling deployment and validation on a real quadcopter platform.

This is an excellent opportunity for candidates interested in autonomous systems, UAVs, artificial intelligence, robotics, and embedded flight control.

Key Responsibilities

Study the PX4 Autopilot architecture and identify suitable integration points for AI-based controllers.
Research and recommend the most effective methodology for integrating pre-trained neural network models into PX4.
Integrate trained AI models (Simple Neural Networks, LSTM, and GRU) into the PX4 flight control framework.
Support deployment and testing using PX4 SITL/Gazebo simulation before hardware implementation.
Assist in deploying and validating the integrated controller on a quadcopter.
Collaborate with the research team to troubleshoot integration challenges and improve system performance.
Document the integration workflow, implementation details, and experimental results.

Required Skills

Good understanding of control systems fundamentals.
Basic knowledge of machine learning and deep neural networks.
Familiarity with recurrent neural networks such as LSTM and GRU.
Basic understanding of Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL).
Strong programming skills in Python and C/C++.
Mandatory: Working knowledge of the PX4 Autopilot framework and its development environment.
Familiarity with Git and Linux-based development.

Preferred Skills

Experience with UAVs, drones, or robotic systems.
Knowledge of ROS/ROS2 and MAVLink communication.
Experience with Gazebo or PX4 SITL simulation.
Familiarity with embedded systems and flight controller hardware.
Experience with PyTorch or TensorFlow.

Eligibility

Final-year / undergraduate or postgraduate students in Aerospace Engineering, Robotics, Computer Science, Electronics, Electrical Engineering, Artificial Intelligence, or related disciplines.
Candidates with relevant personal or academic projects in PX4, UAVs, robotics, or AI are encouraged to apply.

Expected Deliverables

By the end of the internship, the intern is expected to:

Develop a robust methodology for integrating AI-based controllers into PX4.
Successfully integrate the provided trained neural network models within the PX4 Autopilot framework.
Validate the integrated controller through simulation and, where feasible, real-flight testing.
Prepare clear technical documentation covering the integration process, implementation, and testing results.

Duration

3 months (extendable)

Desired Candidate Profile

We are looking for a self-driven and research-oriented candidate who enjoys solving challenging engineering problems. The ideal candidate should be eager to learn, comfortable working with open-source software, and capable of independently researching technical solutions while collaborating effectively with the R&D team.

Skills

Reinforcement Learning

Autopilot

Python

Deep Learning

Apply Now

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AI Robotics Engineer Intern (UAV/PX4)

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Associate Engineer-Civil(BESS)