Perception We are building next-generation Spatial AI systems that enable robots and intelligent machines to understand, navigate, and interact with the physical world in real time.

We are seeking a highly talented Spatial Vision Intelligence Engineer to develop advanced 3D perception, computer vision, and spatial reasoning technologies for autonomous robotics and industrial AI systems.

This role is ideal for engineers passionate about computer vision, embodied AI, spatial intelligence, and real-world AI deployment.

About the Role As a Spatial Vision Intelligence Engineer, you will design and develop AI perception systems that allow robots to perceive and understand complex environments using cameras, LiDAR, depth sensors, and multimodal spatial data.

You will work on cutting-edge technologies involving:

- Real-time 3D scene understanding
- Spatial reasoning and mapping
- Visual localization and perception
- On-device AI inference
- Industrial robotics and autonomous systems

ResponsibilitiesSpatial AI & 3D Vision

- Develop real-time 3D perception and spatial intelligence systems
- Design computer vision pipelines for autonomous robotics
- Build scene understanding, object tracking, and environmental mapping technologies
- Develop spatial reasoning algorithms for robot decision-making
- Implement multimodal perception systems using RGB, depth, LiDAR, and sensor fusion

AI & Deep Learning

- Train and deploy deep learning models for vision intelligence
- Develop object detection, segmentation, tracking, and 3D reconstruction models
- Optimize AI inference pipelines for edge/on-device deployment
- Work with multimodal and embodied AI architectures

Robotics & Autonomous Systems

- Integrate perception systems into robotics platforms
- Develop visual localization and SLAM systems
- Support robot navigation and autonomous operation
- Build simulation and digital twin environments for AI validation

Engineering & Deployment





- Develop scalable Linux-based AI systems
- Optimize GPU and edge computing performance
- Collaborate with robotics, software, and hardware teams
- Deploy and validate systems in real industrial environments

Required Qualifications

- Bachelor’s or Master’s degree in Computer Vision, Robotics, AI, Computer Science, or related fields
- Strong programming skills in Python and/or C
- Experience with computer vision and deep learning frameworks
- Experience with real-time vision processing systems
- Strong understanding of Linux environments
- Experience with:
- PyTorch
- OpenCV
- ROS/ROS2
- Knowledge of 3D geometry, camera systems, and spatial computing
- Strong analytical and problem-solving skills

Preferred Qualifications

- Experience with SLAM, visual localization, or spatial mapping
- Experience with LiDAR and point cloud processing
- Experience with NVIDIA CUDA, TensorRT, or GPU optimization
- Familiarity with Isaac Sim, Gazebo, or simulation environments
- Experience with edge AI and embedded systems
- Experience building autonomous robotics systems
- Publications, patents, or open-source contributions in vision AI or robotics

Tech Stack

- Python / C
- ROS2
- PyTorch
- OpenCV
- CUDA / TensorRT
- LiDAR / Depth Cameras
- Linux / Docker
- Edge AI
- Spatial AI / 3D Vision
- Isaac Sim / Gazebo

Why Join Us?

- Work on cutting-edge Spatial AI and robotics technologies
- Build real-world embodied AI systems
- Opportunity to solve large-scale industrial automation challenges
- Access advanced GPU and robotics development infrastructure
- Rapid-moving and highly technical engineering culture
- Opportunity to shape the future of intelligent autonomous systems

Ideal Candidate We are looking for engineers who:

- Are passionate about spatial intelligence and embodied AI
- Love solving complex perception and autonomy problems
- Enjoy building AI systems that interact with the physical world
- Thrive in fast-paced startup environments
- Want to deploy real AI into real industrial applications

📌 AI Spatial Vision Engineer (Windsor)
🏢 O-HIVE.AI
📍 Windsor