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
