Robotics AI Engineer

Robotics AI Engineer – SLAM, Localization & Mapping Location: Boston, MA Employment Type: Full-Time / Permanent Work Arrangement: Onsite (flexibility may be considered) Compensation: Competitive Base Salary + Benefits About the Opportunity We are partnering with an innovative robotics and artificial intelligence company that is developing next-generation autonomous robotic systems for deployment in complex, real-world environments.

Our client is seeking an experienced Robotics AI Engineer to join its specialized Calibration, Localization, and Mapping team in Boston. This is an opportunity to work on cutting-edge embodied AI technology, developing advanced perception, localization, and mapping algorithms for autonomous quadruped and humanoid robots.

Key Responsibilities

• Design, develop, and implement advanced SLAM, localization, mapping, and calibration algorithms.
• Build robust sensor fusion solutions using LiDAR, cameras, IMUs, and other sensing technologies.
• Develop production-quality software using C++ and Python.
• Improve visual-inertial and LiDAR-inertial odometry systems.
• Develop tools and performance metrics to validate and benchmark algorithms.
• Collaborate with cross-functional engineering teams to integrate and deploy algorithms into real-world robotic platforms.
• Optimize algorithms for reliability, accuracy, and real-time performance.

Required Qualifications

• Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical discipline.
• Strong experience with SLAM, localization, mapping, or sensor calibration.
• Advanced programming skills in C++ and Python.
• Hands-on experience with ROS/ROS2.
• Strong understanding of sensor fusion, state estimation, and nonlinear optimization.
• Experience with LiDAR-inertial and/or visual-inertial odometry.
• Strong mathematical foundation in linear algebra, probability, 3D geometry, and numerical optimization.
• Experience developing and deploying algorithms within complex robotic systems.

Preferred Qualifications

• Experience with autonomous mobile robots, humanoids, quadrupeds, or self-driving vehicles.
• Experience developing real-time algorithms for resource-constrained platforms.
• Publications or patents related to SLAM, odometry, or state estimation.
• Knowledge of radar, GPS, or other advanced sensing technologies.
• Experience with noisy sensor data and robust estimation methods.
• Why Consider This Opportunity?
• Work on advanced autonomous robotics and embodied AI technology.
• Contribute to robotic systems already operating in real-world industrial environments.
• Collaborate with highly accomplished engineers and researchers.
• Help solve complex challenges involving robotic perception, navigation, and autonomy.
• Join a growing organization at the forefront of next-generation robotics.