Senior Robotics SLAM Engineer

Our client is a leading robotics company revolutionizing the industry through cutting-edge automation and intelligent systems. Their innovative solutions integrate advanced robotics, perception technologies, and machine learning to address real-world challenges across diverse domains.

They are seeking a highly skilled Senior Robotics SLAM (Simultaneous Localization and Mapping) Engineer to join their team. In this role, you will lead the design, development, and deployment of SLAM algorithms and systems for our robotics platforms. Your work will be pivotal in enabling our robots to navigate and operate autonomously in dynamic and complex environments.

Key Responsibilities:

• Design and implement state-of-the-art SLAM algorithms, including LiDAR, vision-based, and multi-sensor fusion techniques.
• Develop robust localization and mapping solutions tailored to real-time robotics applications.
• Optimize SLAM algorithms for performance, scalability, and resource efficiency on embedded hardware.
• Integrate SLAM systems with navigation, perception, and motion planning modules.
• Conduct field testing and validation to ensure robustness in diverse operating conditions.
• Analyze and address challenges related to sensor noise, dynamic environments, and large-scale mapping.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to meet project goals.
• Stay updated with the latest advancements in SLAM and robotics and contribute to the company’s innovation roadmap.

Qualifications:

• Master’s or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in developing and deploying SLAM systems in real-world robotics applications.
• Strong expertise in robotics frameworks such as ROS/ROS2.
• Proficiency in C++ and Python; experience with GPU programming (CUDA) is a plus.
• Solid understanding of sensor technologies (LiDAR, cameras, IMUs) and their calibration.
• Experience with multi-sensor fusion and probabilistic techniques (e.g., Kalman filters, particle filters).
• Familiarity with optimization libraries (e.g., g2o, Ceres) and graph-based SLAM.
• Proven track record of deploying SLAM systems on embedded or real-time platforms.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and teamwork abilities.

Preferred Skills:

• Experience with 3D mapping and large-scale environment reconstruction.
• Knowledge of deep learning techniques applied to SLAM and perception.
• Familiarity with Agile development methodologies.
• Experience working in dynamic and fast-paced start-up environments.

The Offer:

• A collaborative and innovative work environment.
• Opportunities to work on cutting-edge technologies and impactful projects.
• Competitive salary and benefits package.
• Professional development and growth opportunities.