Monocular SLAM Engineer for Real-Time 3D Mapping

EchoTwin AI; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible Spending Account

401(k) with 3% company matching

Unlimited PTO

Profit sharing

Job summary

An innovative AI solutions company in San Francisco seeks a Perception Engineer to develop and optimize monocular SLAM algorithms for real-time localization and 3D mapping. The ideal candidate will have strong expertise in C++ and Python, with a solid background in computer vision and related systems. This role offers exciting opportunities in a fast-paced, collaborative environment with a focus on cutting-edge advances in robotics.

Qualifications

• 3+ years of experience in computer vision, SLAM, or related perception systems.
• Hands-on experience with monocular SLAM techniques, including feature detection and tracking.
• Experience deploying SLAM systems in real-world applications, such as autonomous vehicles or drones.

Responsibilities

• Design and develop monocular SLAM algorithms for real-time localization and 3D mapping.
• Optimize SLAM pipelines for performance and accuracy.
• Integrate monocular camera data with other sensor inputs.

Skills

C++

Python

Computer Vision

SLAM techniques

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics

Tools

OpenCV

PCL

ROS

Job description

An innovative AI solutions company in San Francisco seeks a Perception Engineer to develop and optimize monocular SLAM algorithms for real-time localization and 3D mapping. The ideal candidate will have strong expertise in C++ and Python, with a solid background in computer vision and related systems. This role offers exciting opportunities in a fast-paced, collaborative environment with a focus on cutting-edge advances in robotics.