Deep expertise in estimation and nonlinear optimization problems.
Proficient in 3D geometry, visual-inertial SLAM, and computer vision techniques.
Skilled in writing performant C++ software.
Hands-on experience with multi-camera and IMU sensor calibration.
Ability to excel in a fast-paced, ambiguous work environment.
Passionate about developing humanoid robotics technology.
Responsibilities
Architect and implement real-time localization and ego-motion tracking systems.
Build and maintain scalable offline pose-tracking pipelines for training data.
Develop and optimize multi-sensor calibration systems for humanoid robots.
Collaborate with cross-functional teams for testing and evaluation frameworks.
Design and deploy high-quality software solutions for robotics applications.
Benefits
Opportunity to work with cutting-edge AI and robotics technology.
Dynamic and fast-paced work environment.
Collaboration with cross-functional teams to drive innovation.
Contributions to the advancement of humanoid robotics for global applications.
Full Job Description
Responsibilities:
Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).
Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.
Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.
Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.
Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.
Required Qualifications:
Deep technical expertise in solving complex estimation and nonlinear optimization problems.
Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).
Experience writing performant C++ software.
Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).
Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.
Passion for advancing humanoid robotics technology.
Bonus Qualifications:
Experience implementing visual-inertial SLAM systems on legged robotic platforms.
Background in estimation problems related to human motion capture or AR/VR applications.
Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation.
The US base salary range for this full-time position is between $200,000 - $400,000
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
