Computer Vision Engineer III

Big Bang Boom Solutions; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Big Bang Boom Solutions in Chennai is seeking a senior computer vision engineer to lead R&D on drone vision, 3D reconstruction, and real-time perception.

You will work with CUDA, ROS/ROS2, and embedded platforms like Jetson, tackle SLAM, VIO, and sensor fusion, and mentor a small team.

Qualifications

• 5+ years in computer vision, image processing, and deep learning.
• Expert in object detection, tracking, and segmentation for real-world applications.
• Strong foundation in 3D vision, SLAM, and camera geometry.
• Hands-on experience with CNN architectures and vision transformers.
• Proficiency in CUDA programming and GPU optimization.
• Experience with ROS/ROS2, Git, Docker, CI/CD.
• Leadership and team management skills.
• Publications and open-source contributions preferred.

Skills

Computer vision

Image processing

Deep learning

Object detection

Tracking

Segmentation

3D vision

SLAM

Camera geometry

CNN architectures

Vision transformers

CUDA programming

GPU optimization

Publications

Open-source

Photogrammetry

MLOps

Education

Tools

ROS/ROS2

Git

Docker

CI/CD

CUDA

Jetson

TensorRT

ONNX

Job description

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Required Skills & Qualifications

Core Competencies:

• 5+ years in computer vision, image processing, and deep learning
• Expert in object detection, tracking, segmentation for real-world applications
• Strong foundation in 3D vision, SLAM, and camera geometry
• Hands-on experience with CNN architectures and vision transformers
• Expertise in CUDA programming and GPU optimization
• Experience with TensorRT, ONNX for model deployment
• Proficiency in embedded vision systems (Jetson platforms)

Drone-Specific:

• Understanding of aerial imaging challenges (altitude, motion blur, perspective)
• Knowledge of PX4/ArduPilot and MAVLink protocol
• Experience with gimbal stabilization and camera systems

Software Engineering:

• Strong data structures and algorithms foundation
• Experience with ROS/ROS2, Git, Docker, CI/CD
• Proven leadership and team management skills

Preferred Qualifications

• Experience with VIO and sensor fusion (Kalman filters, EKF/UKF)
• Knowledge of reinforcement learning for vision-based control
• Publications in CVPR, ICCV, ECCV, ICRA, IROS
• Open-source contributions (OpenCV, ROS)
• Experience with photogrammetry and 3D modeling
• Familiarity with MLOps (MLflow, TensorBoard)
• Knowledge of simulation platforms (Gazebo, AirSim)
• Experience with thermal/multispectral imaging