Application Engineer – Computer Vision

EchoTwin AI-posted 4 months ago
Mid Level
San Francisco, CA
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EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed. Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors—creating living digital twins that provide real-time insights into infrastructure, compliance, and safety. By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems. More than 'smart cities,' EchoTwin is advancing the era of cognizant cities—urban environments with the awareness to see, think, and act on challenges in real time.

  • 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.
  • Keep abreast of advancements in computer vision, embedded systems, and NVIDIA technologies to recommend innovative solutions.
  • 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.
  • 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.
  • Excellent problem-solving and debugging skills.
  • Strong communication and teamwork abilities.
  • Familiarity with cloud-edge architectures for computer vision applications.
  • Knowledge of containerization tools (e.g., Docker) for deployment.
  • Prior work in industries such as autonomous vehicles, robotics, or IoT.
  • Endless learning and development opportunities from a highly diverse and talented peer group.
  • Options for medical, dental, and vision coverage for employees and dependents (for US employees).
  • Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA).
  • 401(k) with 3% company matching.
  • Unlimited PTO.
  • Profit sharing.
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