Senior Localization and Mapping Engineer

Job Overview

We are seeking a talented and motivated Localization and Mapping Engineer to join our innovative AI robotics company. In this role, you will design and implement state-of-the-art algorithms to enable precise robot localization and environmental mapping. Additionally, you will leverage your computer vision expertise to develop perception systems that enhance the robot's understanding of its environment. Your work will directly impact the performance of our robotic systems in real-world, dynamic environments.

Why RoboForce

RoboForce, an AI robotics company, is building a first-of-its-kind Robotic Workforce System to tackle the most tedious, force-demanding, and dangerous work that humans shouldn't have to do.

At RoboForce, we're building a small team with a flat organizational structure and extreme talent density. Our team includes top tech leaders from CMU Robotics, Michigan Robotics, Amazon Robotics, Tesla Robotics, Google, Waymo, Apple, and Microsoft. RoboForce is backed by world-class investors, including Nobel Prize laureate, Carnegie Mellon University, and others. Here, you will thrive in a fast-paced startup atmosphere where your work has immediate impact and visibility. You will have the freedom to innovate and take ownership of projects, shaping the direction of development with your ideas and expertise. Most importantly, you’ll be around robots—a lot!

Responsibilities

• Design, develop, and test localization and mapping algorithms for autonomous robotic systems.
• Design robust, scalable, and efficient solutions for indoor and outdoor dynamic environments.
• Enhance localization capability by fusing information from multiple sensors.
• Develop and maintain high-quality, reliable software that will be deployed in real-world applications.
• Collaborate with hardware and AI teams to ensure robust system integration and performance.
• Stay up-to-date with the latest advancements in the field of SLAM and AI.

Minimum Qualifications

• Master’s degree in Robotic, Computer Science, AI, or a related technical field with 5+ years of industry experience.
• Strong proficiency in classical computer vision algorithms, including feature matching, object detection, etc.
• Familiarity with deep learning techniques for localization and mapping.
• Familiarity with sensor technologies such as LiDAR, RGB-D cameras, IMU, and GNSS and their calibration procedures.
• Experience with linear algebra, probability, and optimization techniques as applied to robotics.
• Strong proficiency in C++.

Preferred Qualifications

• PhD in Robotics, Computer Science, AI, or a related technical field.
• Publication record in developing and deploying AI robotics solutions.
• Experience with learning-based computer vision techniques, such as object detection, semantic segmentation, and feature tracking.
• Experience with actuators, sensors, and low-level control systems.
• Experience with GPU programming and optimization for real-time applications.
• Proven track record in optimizing and deploying real-time control systems.
• Ready to thrive in a high-paced, fast-growing startup environment.