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.