Robotics Engineer (Localization)

About Steerai

About The Role

Key Responsibilities

• Develop and implement robust SLAM algorithms using lidar and camera sensors for accurate robotic localization.
• Design and optimize sensor fusion strategies to integrate data from multiple sensors for enhanced localization accuracy.
• Apply and tune various filtering techniques, including EKF, UKF, and Particle Filter, to improve system performance.
• Collaborate with cross-functional teams to integrate localization systems with other robotic subsystems, ensuring overall system coherence and reliability.
• Conduct research and stay updated with advancements in robotic localization, SLAM, and sensor fusion technologies.

Qualifications

• Extensive experience in SLAM, both lidar-based and camera-based.
• Expertise in sensor fusion techniques and multi-sensor integration.
• Proficient in filtering techniques like EKF, UKF, and Particle Filter.
• Strong background in robotics, computer vision, and machine learning.
• Familiarity with ROS (Robot Operating System) and its application in localization tasks.
• Proficient in programming languages such as Python and C++.
• Excellent analytical and problem-solving skills.
• Strong teamwork and communication abilities, with a knack for cross-functional collaboration.
• Experience with 3D mapping and computer vision algorithms is a plus.
• Familiarity with hardware components relevant to robotic localization (e.g., IMUs, GPS).
• Masters or PhD in Robotics, Computer Science or a related field.
• What we offer
• We offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry.
• Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.
• If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!