EchoTwin AI
Application Engineer – Computer Vision
San Francisco Office
Sponsorship not specifiedDetected 319 days ago
PythonC++AlgorithmsDockerLinuxMachine LearningTensorFlowPyTorchNLPComputer VisionEmbedded SystemsRoboticsElectrical EngineeringCommunicationCollaborationProblem Solving
About the role
- Company Overview EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed.
- 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.
- 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.
Responsibilities
- Documentation: Create detailed documentation for code, system architecture, and deployment processes to support team collaboration and future maintenance.
- By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems.
- Create detailed documentation for code, system architecture, and deployment processes to support team collaboration and future maintenance.
- At EchoTwin AI, we value excellence regardless of background and are committed to building a team that reflects the communities we serve.
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Hands-on experience with NVIDIA Jetson platforms and associated tools (JetPack SDK, DeepStream, TensorRT).
- Proficiency in programming languages such as Python, C++, and CUDA.
- Familiarity with Linux-based development and embedded systems.
- Knowledge of optimizing neural networks for edge devices (e.g., model quantization, pruning).
- Experience with hardware-software integration, including cameras, sensors, and GPUs.
- Knowledge of containerization tools (e.g., Docker) for deployment.
- 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.
- Experience with computer vision libraries/frameworks (e.g., OpenCV, PyTorch, TensorFlow).
- Strong understanding of computer vision algorithms (e.g., CNNs, YOLO, Transformer, image processing techniques).
- Excellent problem-solving and debugging skills.
- Strong communication and teamwork abilities.
- Familiarity with cloud-edge architectures for computer vision applications.
- Prior work in industries such as autonomous vehicles, robotics, or IoT.
Nice to have
- A PhD is a plus.
Benefits
- 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)
- Profit sharing
- 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.
- We are seeking a skilled Application Engineer to join our team, focusing on deploying and optimizing computer vision systems on NVIDIA Jetson platforms.
Equal opportunity
- Equal Opportunity Employer.
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This listing is sourced directly from EchoTwin AI's careers page and normalized into a canonical job model.