Robotics AI Engineer – Calibration, Localization, and Mapping

Samson Rose has been exclusively engaged by a pioneering Robotics & AI company in California to find a Robotics AI Engineer. This is a rare opportunity to join a world-class team focused on developing cutting-edge localization, calibration, and mapping systems for real-world robotic autonomy in the most challenging environments. In this role, you’ll help design and deliver production-quality code that supports the company’s core autonomy stack—working across multiple sensing modalities and helping build environment-agnostic subsystems at scale.

A little about them:

• They are at the forefront of developing a groundbreaking, field-proven, hardware-agnostic brain technology that empowers a wide range of robots to operate autonomously in the most challenging environments—hazardous, off-road, and industrial settings—all without relying on GPS, maps, or pre-programmed routes.
• With over $100 million in funding from visionary leaders and institutions, they have the resources to rapidly turn their bold vision into reality and are making significant strides toward their ambitious goals.
• Their mission is to tackle one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments.
• By joining their team, you’ll have the chance to collaborate with some of the brightest minds in the industry. This world-class team thrives on creativity, resilience, and bold thinking. With a decade of success in the field, they've won DARPA challenge segments and brought together expertise from top-tier organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX.

The person we are looking for:

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping
• Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics
• Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion
• Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms
• Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms
• Experience with sensor calibration (intrinsics and extrinsics) and time synchronization
• Strong proficiency in C and Python and modern best practices, with the ability to write maintainable and efficient code
• Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system
• Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities
• Strong work ethic, highly self-motivated, and excellent written and verbal communication skills

What Will Set You Apart

• Publications and/or patents in calibration, state estimation, odometry, and/or SLAM
• Experience working with noisy sensor measurements and designing outlier-resilient algorithms
• Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity
• Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.)
• Experience with modern version control and project management tools

If this role is of interest to you, please apply with your current resume. We’ll follow up to schedule an initial call.