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AI / ML · Engineering

Application Engineer – Computer Vision

EchoTwin AI

3+ yrsOn-site · San Francisco OfficeFullTimeListed 1y ago
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🇦🇪 Boca Raton, FL, United States

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About the role

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COMPANY OVERVIEW 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…

What you will do

  • 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.

What they are looking for

  • 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.

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
Computer VisionMachine LearningPythonC++CUDAOpenCVPyTorchTensorFlowNVIDIA JetsonJetPack SDKDeepStreamTensorRTLinuxDocker
Full posting text

COMPANY OVERVIEW

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 DO

We 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 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.

QUALIFICATIONS

  • 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 AND PERKS

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.

LIFE AT ECHOTWIN AI

If you want to empower the world’s most important cities—and the institutions that run them—you belong here. At EchoTwin AI, we value excellence regardless of background and are committed to building a team that reflects the communities we serve.

EchoTwin AI is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.

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EchoTwin AI

AI

EchoTwin transforms municipal fleet vehicles into autonomous sensing networks that power the Physical AI Operating System for Real-Time Urban Intelligence. By combining proprietary AI, continuous sensing, and contextual reasoning, EchoTwin transforms real-world observations into actionable intelligence and autonomous workflows, enabling governments to understand, predict, and optimize the built environment at city scale.

Our mission is to build the world's first urban world model—a continuously updated digital representation of every road, asset, and piece of infrastructure that powers the nex

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