Drive the accuracy and precision of our localization and state estimation pipelines. You will ensure reliable pose estimation of the robot's mobile base and scene components.

Develop advanced obstacle mapping for collision avoidance that thrives in messy environments.

Implement and optimize point cloud processing algorithms tailored for real-time edge compute.

Architect a robust software stack that efficiently parses and interfaces with the outputs of our machine learning models, integrating novel perception pipelines seamlessly into the core production codebase.

Improve and automate multi-sensor calibration routines. You will manage tolerance stacks and ensure high-fidelity spatial alignment across our sensor suites to guarantee a single source of truth for the robot.

5+ years of experience in robotics software engineering (or an MS with 3+ years of highly relevant industry experience).

Exceptional software engineering fundamentals, highly proficient in Python and C++ for production systems.

Strong mathematical foundation in linear algebra, geometry, and probabilistic robotics.

Hands-on experience building perception stacks using industry-standard tools and frameworks, including ROS/ROS2, OpenCV, Open3D, Eigen, and Git.

Hands-on experience with sensor stacks including 3D LiDARs, IMUs, and cameras.

You are a "full-stack" robotics engineer who cares about accuracy, precision, and edge cases in the physical world and can articulate architectural trade-offs to drive the best system level decisions.

Experience with optimization libraries (Ceres Solver, GTSAM), parallel computing (CUDA), Docker, and PCL preferred.