Humro is a leading provider of intelligent warehouse automation and robotics solutions, focused on empowering human workforces through collaborative robotics. Their mission is to democratize…
AIAutonomous Mobile RobotsIndustrial AutomationMachine LearningMaterial HandlingRoboticsWarehouse AutomationZero-CAPEXhumro.com
Humro
Humro is a leading provider of intelligent warehouse automation and robotics solutions, focused on empowering human workforces through collaborative robotics. Their mission is to democratize…
AIAutonomous Mobile RobotsIndustrial AutomationMachine LearningMaterial HandlingRoboticsWarehouse AutomationZero-CAPEXhumro.com
Humro is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships.
What We Need
We’re seeking a SLAM expert with several years of experience to join the Perception team at the team senior engineer level. As a SLAM Expert, you will play a technical development role in developing and implementing state-of-the-art SLAM algorithms and systems to advance our cutting-edge fulfillment technology. We are looking for people who thrive in a creative, collaborative, and agile development environment.
Job Description
Lead the design and development of SLAM-based navigation systems for robotic platforms.
Utilize SLAM algorithms and techniques to enable accurate localization and mapping in various environments.
Develop, optimize, and implement SLAM algorithms and systems for real-time applications.
Skill Sets Required
A Bachelors /master's or Ph.D. degree in Computer Science, Robotics or a related field.
1-6 years of demonstrated experience in SLAM research and development, with a strong publication record in relevant conferences and journals.
Expertise in various SLAM techniques, such as visual SLAM, LiDAR SLAM, visual-inertial SLAM, graph-based SLAM, Kalman filtering, bundle adjustment, structure from motion, etc.
Proficiency in programming languages commonly used in SLAM, such as C++ and Python.
Benefits
Competitive salary with performance-based bonuses.
Comprehensive health and wellness benefits.
Opportunities for professional development and continued education.
Collaborative and innovative work environment.
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Conduct research and stay up to date with the latest advancements in SLAM and related fields.
Design and execute experiments to evaluate the performance and robustness of SLAM algorithms and systems.
Collaborate with cross-functional teams, including software engineers, computer vision experts, and robotics engineers, to integrate SLAM solutions into various projects.
Provide technical guidance and support to team members working on SLAM-related projects.
Identify and analyze challenges in SLAM implementation and propose innovative solutions.
Contribute to the development of tools and frameworks to streamline the SLAM development process.
Document and communicate research findings, algorithms, and technical specifications effectively.
Solid understanding of computer vision, sensor fusion, probabilistic robotics, and optimization algorithms.
Experience with popular SLAM libraries and frameworks, such as ROS, OpenCV, PCL, GTSAM, and g2o.
Strong mathematical and analytical skills, with the ability to apply advanced mathematical concepts to solve SLAM challenges.
Strong communication and teamwork skills to collaborate effectively with interdisciplinary teams.
Prior experience working with autonomous systems and robotics.
