Robotics Engineer (Localization)
About SteerAI SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council.
Skills
About This Role
About SteerAI
SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.
About the role
We are seeking a Senior Robotics Engineer specializing in Robotic Localization to participate in the development of cutting-edge localization systems for autonomous robotic platforms.
The ideal candidate will have extensive experience in SLAM using both lidar and camera sensors, and a deep understanding of sensor fusion techniques.
Proficiency in implementing and tuning filters such as Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter is essential.
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!
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