Software Engineer

Software Engineer – Full Stack AI + Vision SLAM SystemsThe Job

Title: Full Stack Software Engineer – AI + Computer Vision SLAM Systems

Location: Remote / Hybrid

Type: Full-Time

Reports To: CTO / Engineering Lead

The Mission

We are seeking a highly skilled Software Engineer to design, build, and optimize full-stack software systems for real-time vision-based SLAM (Simultaneous Localization and Mapping) and AI-powered perception agents. You will work at the intersection of robotics, computer vision, and edge AI, building software to enable camera-based autonomous systems for tracking and mapping moving objects (e.g., forklifts, AGVs, AMRs).

This is a foundational engineering role where you will contribute directly to the next generation of industrial AI agents.

Your Skills

SLAM & Computer Vision Development

• Design and optimize SLAM pipelines using libraries like ORB-SLAM, RTAB-Map, or custom implementations
• Develop and deploy computer vision algorithms for object detection, tracking, and scene understanding
• Integrate data from multiple cameras and sensors for robust perception

AI Model Integration

• Build end-to-end pipelines for object recognition and scene segmentation using deep learning frameworks (PyTorch, TensorFlow)
• Optimize models for real-time edge deployment (e.g., NVIDIA Jetson, OpenVINO)

Software Engineering & Systems Integration

• Write high-performance software in C++ and Python for real-time applications
• Architect modular, scalable software for perception, data processing, and decision-making
• Integrate with robotic frameworks (ROS/ROS2) for real-world testing and deployment

Testing & Validation

• Develop simulation environments and automated test frameworks
• Benchmark algorithms for accuracy, latency, and reliability under varying conditions

Performance Measurement

• Accuracy and robustness of SLAM and perception algorithms
• System performance on target edge hardware
• Quality and maintainability of delivered code
• Success rate of autonomous tracking and mapping in real-world environments

Qualifications

• MSc or PhD in Robotics, Computer Vision, Electrical Engineering, or related fields
• 4+ years of experience in SLAM, computer vision, or autonomous systems development
• Strong C++, Python skills; experience with OpenCV, GTSAM, Eigen
• Experience deploying on edge platforms (e.g., NVIDIA Jetson, Qualcomm)
• Familiarity with ROS/ROS2 and robotic system integration
• Proven track record of delivering production-quality software in real-world robotics or autonomous systems projects