About the role

We are having opening for a Computer Vision & Localization Engineer - Remote

Working Days- 5 Days Mon-Fri

Timings- Flexible/ US & UK Shift - around 11 am to 9 pm

Duration: 4-6 Months

Number of positions: 1

Budget: 1.5 to 1.8

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Sr. No.	Date	Candidate Full Name	Location	Total Years of Experience	Computer Vision Years of exp.	Python Years of exp.	AI Years of exp.	Linux Exp.	Notice period	Rate per month

Position / Designation	Computer Vision & Localization Engineer
Qualification	Any IT Graduate
Years of Experience	5+ Years
Permanent / Contract (If contract, period ?)	Contractual
Number of post	1
Office Location of Company	Remote
Gender	Male/ Female

Industry Background	IT
Selection Process	1 st – Assessment 2 nd - Technical Round 3 rd - HR Round
Key Responsibilities	• GNSS/RTK Integration: Establish serial port communication with dual-antenna RTK GNSS receivers, parse NMEA/UBX sentences, and extract heading, position, and fixquality data in real time. • Sensor Fusion & Spatial Math: Translate detections from camera pixel space to realworld 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.
Skills	• 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). • COMPUTER VISION along with 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.
Brownie Points	• RTK Localization: Direct experience with dual-antenna GNSS setups for heading determination and centimeter-level positioning. • Sensor Fusion: Experience fusing IMU, GNSS, and camera data to produce accurate, stable object localization from a moving platform
What We Offer	• Meritocracy: A candid startup culture where the best ideas win. • The Playground: Access to the latest NVIDIA Hardware and cutting-edge Generative AI tools. • Ownership: Lead a performance-oriented team driven by autonomy and open to experiments. • Impact: Design systems for high accuracy and scalability that physically move the global supply chain.
Joining Date	Immediate to 15 days