EchoTwin AI · 4 months ago
3D Perception Engineer - SLAM with Mono Cameras
San Francisco Office
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 Perception Engineer to specialize in the development of Simultaneous Localization and Mapping (SLAM) systems using monocular cameras, focusing on designing, implementing, and optimizing algorithms for real-time localization and mapping in 3D construction.
Artificial Intelligence (AI)Big DataComputer VisionGenerative AIMachine LearningSmart Cities
Responsibilities
Design and develop monocular SLAM algorithms for real-time localization and 3D mapping in dynamic environments
Optimize SLAM pipelines for performance, accuracy, and computational efficiency on resource-constrained platforms
Integrate monocular camera data with other sensor inputs (e.g., IMU) to enhance system robustness
Conduct experiments to evaluate and improve SLAM performance under varying lighting, occlusion, and motion conditions
Collaborate with cross-functional teams, including robotics, software, and hardware engineers, to integrate SLAM solutions into production systems
Implement and test algorithms in C++ and/or Python, ensuring scalability and reliability
Stay updated on the latest advancements in computer vision, SLAM, and monocular depth estimation, incorporating relevant techniques into development
Document technical designs, algorithms, and experimental results for internal and external stakeholders
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 computer vision, SLAM, or related perception systems
Strong proficiency in C++ and/or Python for algorithm development and optimization
Hands-on experience with monocular SLAM techniques, including feature detection, tracking, and loop closure
Experience with deep learning-based approaches for monocular depth estimation or visual odometry
Knowledge of sensor fusion techniques, particularly with IMUs or other inertial sensors
Familiarity with computer vision libraries (e.g., OpenCV, PCL) and frameworks (e.g., ROS, Eigen)
Experience deploying SLAM systems in real-world applications, such as autonomous vehicles or drones
Understanding of camera models, calibration, and image processing techniques
Experience with real-time systems and optimizing algorithms for embedded platforms
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
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