EchoTwin AI · 3 months ago
Application Engineer – Computer Vision
San Francisco, CA
Full-time
Onsite
Mid Level
3+ years expEchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed. They are seeking a skilled Application Engineer to focus on deploying and optimizing computer vision systems on NVIDIA Jetson platforms, with responsibilities including system development, algorithm optimization, and collaboration with cross-functional teams.
Artificial Intelligence (AI)Big DataComputer VisionGenerative AIMachine LearningSmart Cities
Responsibilities
System 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
Qualification
Required
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
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)
401(k) with 3% company matching
Unlimited PTO
Profit sharing
Company
EchoTwin AI
Transforming smart cities into cognitive cities that can see, think, & act.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$8MKey Investors
Metis Ventures
2025-09-01Seed· $8M
Leadership Team
Chris Carson
Founder | Global CEO | Chairman of the Board
Michael Byrne
Chief Product Officer
Recent News
2025-10-25
2025-10-20
Company data provided by crunchbase