EchoTwin AI is redefining how cities are managed by pioneering AI-driven infrastructure intelligence. The company aims to transform municipal fleets into mobile urban sensors, creating living digital twins that provide real-time insights into infrastructure, compliance, and safety, enabling proactive monitoring, prediction, and resolution of urban challenges to build resilient, self-healing, and sustainable urban ecosystems.
Requirements
- Hands-on experience with NVIDIA Jetson platforms and associated tools (JetPack SDK, DeepStream, TensorRT).
- Proficiency in programming languages such as Python, C++, and CUDA.
- Experience with computer vision libraries/frameworks (e.g., OpenCV, PyTorch, TensorFlow).
- Familiarity with Linux-based development and embedded systems.
- Strong understanding of computer vision algorithms (e.g., CNNs, YOLO, Transformer, image processing techniques).
- Knowledge of optimizing neural networks for edge devices (e.g., model quantization, pruning).
- Experience with hardware-software integration, including cameras, sensors, and GPUs.
Responsibilities
- Design, develop, and deploy computer vision applications on NVIDIA Jetson platforms (e.g., Jetson Xavier, Orin, Thor).
- Optimize computer vision algorithms (e.g., object detection, image segmentation, tracking) for performance, power efficiency, and real-time processing on resource-constrained devices.
- Integrate computer vision pipelines with hardware components, sensors, and peripheral devices, ensuring seamless operation in embedded environments.
- Write clean, efficient, and maintainable code in Python, C++, or CUDA for computer vision tasks, leveraging NVIDIA’s JetPack SDK, DeepStream, and TensorRT.
- Conduct rigorous testing, debugging, and validation of computer vision systems to ensure reliability, accuracy, and robustness in diverse scenarios.
- Work closely with cross-functional teams, including data scientists, hardware engineers, and product managers, to align solutions with project requirements.
- Create detailed documentation for code, system architecture, and deployment processes to support team collaboration and future maintenance.
Other
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. A PhD is a plus.
- 3+ years of experience in developing and deploying computer vision or machine learning applications.
- Excellent problem-solving and debugging skills.
- Strong communication and teamwork abilities.
- Prior work in industries such as autonomous vehicles, robotics, or IoT.
