Computer Vision & Localization Engineer

Posted on July 23, 2026

Apply Now Share Job

Job Description

Position – Computer Vision & Localization Engineer

Overview

• Years of Experience – 5+
• Job time – 11:00 a.m. - 09:00 p.m. IST
• Contract Duration – 4-6 Months
• Number of positions – 01
• Location – Remote
• Notice period – Immediate
• Qualification – Any IT Graduate
• Permanent / Contract – Contractual
• Office Location of Company – Remote
• Gender – Male/ Female
• Industry Background – IT
• Selection Process – 1st – Assessment, 2nd- Technical Round, 3rd-Technical 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 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.

Required 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 7 days

Required Skills

gnss/rtk integration: