EchoTwin AI

3D Perception Engineer - SLAM with Mono Cameras

San Francisco Office

Sponsorship not specifiedDetected 319 days ago

PythonC++AlgorithmsDeep LearningComputer VisionRoboticsElectrical EngineeringSensorsCommunicationProblem 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.
EchoTwin AI is not responsible for any fees related to unsolicited resumes.

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.
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.
Document technical designs, algorithms, and experimental results for internal and external stakeholders.
By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems.
At EchoTwin AI, we value excellence regardless of background and are committed to building a team that reflects the communities we serve.

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.
Knowledge of sensor fusion techniques, particularly with IMUs or other inertial sensors.
Experience deploying SLAM systems in real-world applications, such as autonomous vehicles or drones.
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.
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.
Experience with deep learning-based approaches for monocular depth estimation or visual odometry.
Familiarity with computer vision libraries (e.g., OpenCV, PCL) and frameworks (e.g., ROS, Eigen).
Understanding of camera models, calibration, and image processing techniques.
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)

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
A PhD is a plus.

Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
Profit sharing
The ideal candidate will design, implement, and optimize algorithms to enable robust real-time localization and mapping for 3D construction, contributing to cutting-edge advancements in robotics and computer vision.
Stay updated on the latest advancements in computer vision, SLAM, and monocular depth estimation, incorporating relevant techniques into development.

We are seeking a skilled Perception Engineer to join our team, specializing in the development of Simultaneous Localization and Mapping (SLAM) systems using monocular cameras.

This listing is sourced directly from EchoTwin AI's careers page and normalized into a canonical job model.