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.
What You’ll DoWe are seeking a skilled Application Engineer to join our team, focusing on deploying and optimizing computer vision systems on NVIDIA Jetson platforms. The ideal candidate will have expertise in embedded systems, computer vision, and software development, with a passion for delivering high-performance solutions in real-world applications.
Key ResponsibilitiesSystem Development and Deployment: Design, develop, and deploy computer vision applications on NVIDIA Jetson platforms (e.g., Jetson Xavier, Orin, Thor).
Algorithm Optimization: Optimize computer vision algorithms (e.g., object detection, image segmentation, tracking) for performance, power efficiency, and real-time processing on resource-constrained devices.
Integration: Integrate computer vision pipelines with hardware components, sensors, and peripheral devices, ensuring seamless operation in embedded environments.
Software Development: Write clean, efficient, and maintainable code in Python, C++, or CUDA for computer vision tasks, leveraging NVIDIA’s JetPack SDK, DeepStream, and TensorRT.
Testing and Validation: Conduct rigorous testing, debugging, and validation of computer vision systems to ensure reliability, accuracy, and robustness in diverse scenarios.
Collaboration: Work closely with cross-functional teams, including data scientists, hardware engineers, and product managers, to align solutions with project requirements.
Documentation: Create detailed documentation for code, system architecture, and deployment processes to support team collaboration and future maintenance.
Stay Updated: 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.
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!
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
Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.
Top Skills
What We Do
EchoTwin AI is a leader in AI-driven infrastructure intelligence, redefining urban management with its proprietary visual intelligence engine capable of full spatial reasoning. By transforming municipal fleets into urban sensors, EchoTwin generates living digital twins of cities that provide real-time insights across infrastructure, compliance, and safety. This empowers municipalities to proactively monitor, predict, and resolve issues—creating resilient, self-healing, and sustainable urban ecosystems. EchoTwin is advancing smart cities into cognizant cities, endowed with the self-awareness to see, think, and act on challenges in real time.
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