Santa Clara, US-United States
Posted 7 hours ago
| About The Company A robotics-focused startup building an end-to-end data engine to accelerate embodied intelligence. By generating and collecting high-quality real-world data across diverse physical environments and robot embodiments, the company enables faster iteration, training, and evaluation for next-gen robotics systems. Its platform supports scalable, efficient dataset creation tailored for physical interaction and perception tasks. Key Responsibilities – Develop and optimize computer vision algorithms, including object detection, tracking, recognition, segmentation, and 3D perception. – Design and implement efficient and scalable vision algorithms based on project requirements, improving real-time performance and robustness. – Process and fuse multi-sensor data (RGB, depth, IMU, LiDAR, etc.) in robotics or autonomous driving scenarios. – Participate in the end-to-end algorithm development cycle, from data collection, modeling, and training to deployment, with continuous model optimization. – Collaborate closely with software, hardware, and product teams to integrate algorithms into real-world systems. Qualifications – Bachelor’s degree or above in Computer Science, Artificial Intelligence, Electrical Engineering, Automation, or related fields. – Solid foundation in computer vision, image processing, and deep learning; familiar with mainstream models (e.g., CNN, Transformer) and frameworks (e.g., PyTorch, TensorFlow). – Practical experience in one or more vision tasks such as object detection, segmentation, 3D estimation, SLAM, or depth estimation. – Strong programming skills in C++/Python, with the ability to write high-performance and well-structured code. – Familiar with Linux development environments and common toolchains, with strong problem-solving and debugging abilities. Nice-to-Haves – Experience in autonomous driving, robotics, or related industries, with knowledge of perception systems in real-world applications. – Experience with multi-modal sensor fusion (RGB + Depth + LiDAR + IMU). – Publications in top conferences (CVPR, ICCV, NeurIPS, RSS, etc.) or contributions to well-known open-source projects. – Experience with GPU acceleration, edge deployment, and model optimization (TensorRT, ONNX, CUDA). |
Job Features
| Job Category | Robotics |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $100,000 - $300,000 |
| Recruiter | wendy.mu@ocbridge.ai |
