Project Highlights

- This project focuses on building advanced AI-powered localization and Computer Vision systems for real-time object tracking in outdoor environments. The solution integrates Edge AI servers, GNSS/RTK systems, cameras, and sensor fusion technologies to accurately detect, track, and map objects with high precision for large-scale logistics and supply chain operations.

- The Computer Vision &
- Localization Engineer will work on developing real-time vision pipelines, spatial mapping systems, and AI-based localization frameworks optimized for rugged Edge environments. The role offers robust exposure to NVIDIA Edge AI platforms, OpenCV, OCR, GNSS integrations, and advanced sensor fusion technologies.

Roles and Responsibilities

- GNSS/RTK Integration: Establish serial port communication with dual-antenna RTK

- GNSS receivers, parse NMEA/UBX sentences, and extract heading, position, and fix-quality data in real time.

- Sensor Fusion &
- Spatial Math: Translate detections from camera pixel space to real-world X/Y coordinates by fusing camera intrinsics, vehicle heading (GNSS)

- Edge Deployment: Deploy and optimize vision and localization models on NVIDIA Jetson or equivalent rugged Edge AI hardware, ensuring real-time throughput.





- Computer Vision &

- OCR: Implement object detection and text recognition (OCR) pipelines using OpenCV and/or deep learning models, optimized for day and night outdoor conditions.

Requirements

- Python Mastery: Excellent Python programming skills with an emphasis on algorithmic problem-solving, clean code, and performance.

- OpenCV &
- Image Processing: Experience with image processing pipelines, camera calibration, perspective transforms, and real-time frame analysis.

- GNSS: Hands-on experience with GNSS receivers, RTK corrections, and serial port communication (pyserial or equivalent).

- Spatial & 3D Math: Comfort with coordinate frame transformations, rotation matrices, bearing/distance calculations, and projective geometry.

- Linux &

- Hardware I/O: Proficiency working in Linux environments, managing serial devices, USB peripherals, and PoE cameras.

- NVIDIA / Edge AI (Nice to Have): Experience deploying models on NVIDIA Jetson platforms or similar Edge AI hardware using TensorRT, DeepStream, or CUDA.

- OCR (Nice to Have): Prior experience with text detection and recognition.

📌 Senior Python Developer (Ahmedabad)
🏢 Ascendum Solutions India
📍 Ahmedabad