Computer Vision and Estimation Engineer
This role is for a Computer Vision and Estimation Engineer at IIT Bombay, focusing on a government-funded drone technology research project. Responsibilities include developing perception algorithms, integrating them with UAV autopilot systems, and validating performance in simulation environments. Candidates must have a strong background in computer vision, deep learning frameworks, and robotics tools such as ROS and Gazebo. The role demands proficiency in C++/Python and embedded Linux for real-time deployment.
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Experience
Experience not specified
Function
Research
Work mode
Onsite, India
Company
Tier 2
What you will work on
This role is for a Computer Vision and Estimation Engineer at IIT Bombay, focusing on a government-funded drone technology research project. Responsibilities include developing perception algorithms, integrating them with UAV autopilot systems, and validating performance in simulation environments. Candidates must have a strong background in computer vision, deep learning frameworks, and robotics tools such as ROS and Gazebo. The role demands proficiency in C++/Python and embedded Linux for real-time deployment.
TAL's take
Strong academic research project at a top-tier Indian institute, though research staff roles have less growth clarity than industry roles.
Highly specific technical requirements for UAV computer vision and estimation within a defined government-funded project.
Salaries at IIT Bombay
12.0 LPA average
Based on 1 Grapevine salary entries for IIT Bombay.
Other roles
0 - 2 years
12 LPA average
Range: 12 - 12 LPA
Must haves
- PhD, MTech/ME, or BTech/BE with relevant experience
- Developing computer vision for navigation, detection, tracking, and path planning
- Strong background in OpenCV, Tensorflow/Pytorch, and TensorRT
- Expertise in VIO, SLAM, or vision-based velocimetry
- Proficiency in Python, C/C++, ROS/ROS2, and Gazebo
- Experience with autopilot firmware like PX4 and ArduPilot
Tools and skills
About the company
Academic institution, categorized as tier 2 for research engineering talent.
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