O-HIVE develops spatial vision intelligence that enables machines to capture, understand, and respond to the physical world in real time. Our technology integrates visual capture, detection, and execution into a unified architecture designed to minimize latency between perception and action. We focus on high-performance vision systems tailored for emerging platforms such as humanoid robots, AR glasses, and autonomous machines. By bringing spatial vision intelligence closer to the silicon level, we enable faster decision-making, improved efficiency, and real-time interaction with dynamic environments. Our team combines deep expertise in robotics, computer vision, and large-scale technology commercialization. With a proven track record of supplying vision intelligence solutions to multinational manufacturers, O-HIVE is positioned to power the next generation of intelligent machines. At O-HIVE, our mission is simple: Capture. Detect. Execute. — with zero latency.
On-site · Windsor
Lead engineering projects from requirements and planning through prototyping, validation, and deployment, coordinating robotics, AI, embedded systems, and semiconductor workstreams. Manage schedules, risks, resources, technical reviews, stakeholder updates, customer demonstrations, and project documentation.
On-site · Windsor
Design, implement, and optimize FPGA accelerators for real-time computer vision, SLAM, object detection, and AI inference, including camera and sensor data pipelines. Validate FPGA prototypes, debug and benchmark hardware, and collaborate with ASIC, AI, software, and embedded teams to transition processing blocks toward production ASIC designs.
On-site · Windsor
Design and implement RTL and SoC architecture for an edge-AI semiconductor platform, including AI acceleration, memory, sensor interfaces, and robotic-control functions. Contribute across verification, synthesis, timing and power optimization, physical-design coordination, FPGA prototyping, and silicon bring-up.
On-site · Windsor
Lead the architecture, microarchitecture, RTL development, verification, and implementation of an AI and spatial vision ASIC, coordinating design activities through tape-out and post-silicon validation. Guide engineering teams and external partners while optimizing hardware for computer vision and AI workloads, including FPGA prototyping, power, performance, and area.
On-site · Windsor
Design, implement, and optimize FPGA accelerators and real-time processing pipelines for spatial vision, SLAM, object detection, and AI inference. Develop and validate FPGA prototypes, integrate cameras and sensors, benchmark and debug hardware, and collaborate on transitioning validated designs to ASIC implementations.
On-site · Windsor
Design, implement, and optimize FPGA accelerators for real-time computer vision, SLAM, object detection, and AI inference, including camera and sensor data pipelines. Build and validate FPGA prototypes, benchmark and debug hardware, and collaborate with ASIC, AI, software, and embedded teams to transition validated designs toward production ASICs.
