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Computer Vision Engineer

Aerogravity Private Limited
Nashik, Maharashtra

Quick apply

Job details

Permanent | Full-time
₹6,00,000 - ₹10,00,000 a year
2 hours ago

Benefits

Provident Fund
Leave encashment
Health insurance

Qualifications

TensorFlow
Image processing
Cloud infrastructure
Computer vision
R
C++
Docker
C
Machine learning
Deep learning
OpenCV
Linux
AI
Robotics
Python

Full job description

Senior Computer Vision & AI Engineer (RGB | Thermal | EO/IR | Surveillance)Location

Nashik, Maharashtra (Preferred) / Pune / Hybrid

Experience

5–7 Years

About NxtQube

NxtQube is building autonomous aerial intelligence platforms that enable drones to operate without human intervention. Our platform combines autonomous drone docking stations, edge AI, cloud software, and computer vision to automate inspection, surveillance, security, inventory monitoring, mining, infrastructure monitoring, and emergency response.

We are looking for an experienced Computer Vision Engineer who has solved real-world perception problems using RGB and EO/IR (Thermal) imagery. The ideal candidate has worked on surveillance, autonomous systems, defense, robotics, or industrial monitoring applications where reliability matters more than benchmark accuracy.

Role Overview

You will lead the development of our perception stack for autonomous drone operations across day and night conditions.

Rather than simply training object detection models, you will design complete vision pipelines involving sensor calibration, image enhancement, detection, tracking, segmentation, multi-modal fusion, temporal reasoning, and event analytics.

You will mentor junior AI engineers while architecting scalable computer vision systems for deployment on edge devices and cloud infrastructure.

Key Responsibilities

Design and develop computer vision pipelines for RGB and EO/IR (Thermal) imagery.
Build robust detection, segmentation and tracking algorithms for people, vehicles, animals, machinery and industrial assets.
Improve performance under low-light, low-contrast, dust, fog and adverse environmental conditions.
Develop perception systems using temporal information from video rather than relying only on single-frame detection.
Design multi-modal perception pipelines combining RGB, Thermal and other available sensor data.
Build AI solutions for surveillance, monitoring, industrial inspection and autonomous navigation.
Work on image enhancement, stabilization, denoising and thermal preprocessing techniques.
Optimize inference for edge deployment on NVIDIA Jetson, GPU servers and embedded systems.
Collaborate closely with robotics, embedded, cloud and product teams.
Lead model evaluation, dataset strategy, hard-negative mining and continuous improvement.
Mentor junior AI engineers and establish engineering best practices.

Required SkillsComputer Vision

Strong understanding of Computer Vision fundamentals.
Object Detection
Instance & Semantic Segmentation
Multi Object Tracking
Video Analytics
Image Enhancement
Optical Flow
Background Subtraction
Feature Extraction
Camera Calibration
Perspective Transformation
Image Registration
Visual Geometry

Deep Learning

Experience with one or more of:

YOLO
RT-DETR
Faster R-CNN
DETR
Mask R-CNN
Segment Anything (SAM)
Vision Transformers
CNN architectures
Open Vocabulary Detection
Foundation Vision Models

Thermal / EO-IR Imaging

Hands-on experience working with:

Thermal Cameras
EO/IR payloads
Low-light imaging
Thermal preprocessing
Temperature normalization
Contrast enhancement
Thermal object detection
Day-Night perception systems

Programming

Python
C++ (Preferred)
PyTorch
OpenCV
TensorFlow (Optional)

MLOps

Dataset preparation
Annotation pipelines
Model evaluation
Experiment tracking
Active Learning
Hard Negative Mining
Model optimization
TensorRT
ONNX
Docker
Linux

Good to Have

Candidates with experience in any of the following will be given strong preference:

Multi-Spectral Imaging
Hyper-Spectral Imaging
LiDAR perception
Sensor Fusion
RGB + Thermal Fusion
SLAM / Visual Odometry
Remote Sensing
Satellite Imagery
UAV Computer Vision
Robotics
Autonomous Vehicles
Industrial Inspection
Defense & ISR Systems
Geospatial AI
Edge AI Deployment
NVIDIA DeepStream
NVIDIA Jetson
CUDA Optimization
GStreamer
ROS / ROS2

What We're Looking For

We value engineers who:

Solve perception problems rather than only training models.
Understand why models fail in real-world deployments.
Think in terms of complete AI systems rather than isolated neural networks.
Can independently research, prototype and productionize new approaches.
Enjoy working across software, hardware and robotics teams.

Bonus Experience

Experience building AI solutions for:

Border Surveillance
Mine Surveillance
Industrial Safety
Critical Infrastructure Monitoring
Warehouse Automation
Smart Cities
Wildlife Monitoring
Construction Monitoring
Solar Farm Analytics
Railways
Defense Applications
Drone-Based Inspection

Success in this Role

Within the first 6–12 months, you will have:

Improved detection performance across challenging RGB and thermal environments.
Built a robust perception pipeline combining detection, tracking and scene understanding.
Established a scalable AI training and evaluation workflow.
Mentored the AI team and elevated engineering standards.
Helped deliver production-ready AI capabilities for autonomous drone operations.

Pay: ₹600,000.00 - ₹1,000,000.00 per year

Benefits:

Health insurance
Leave encashment
Provident Fund

Work Location: In person

Quick apply

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