5 дней назад
Robotics AI Engineer – Calibration, Localization, and Mapping (Robotics AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics AI Engineer – Calibration, Localization, and Mapping (Robotics AI): Designing and deploying calibration, localization, and mapping algorithms for autonomous quadrupeds and humanoids with an accent on geometric perception, sensor fusion, and production-quality robotics software. Focus on LiDAR-inertial and visual-inertial SLAM, sensor calibration, real-time state estimation, and integrating algorithms into complex robotic systems.
Location: Irvine, CA, United States. The role is primarily fully onsite, with flexible hours; hybrid or remote work may be explored.
Company
develops risk-aware embodied AI and autonomous robotic systems for construction, security, mining, manufacturing, and other challenging real-world environments.
What you will do
- Design and implement calibration, localization, and mapping algorithms for autonomous quadrupeds and humanoid robots.
- Develop tools and metrics to validate and benchmark calibration, localization, and mapping subsystems.
- Build clean, efficient, and maintainable production code in C++ and Python.
- Work with multiple sensing modalities and develop environment-agnostic algorithms for downstream autonomy modules.
- Collaborate with cross-functional teams to integrate and deploy algorithms into real-world robotic systems.
Requirements
- Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, or 3D mapping.
- Strong foundations in linear algebra, probability, numerical optimization, 3D geometry, Lie theory, and 3D kinematics.
- Practical experience with linear and nonlinear state estimation frameworks, sensor fusion, sensor calibration, and time synchronization.
- Experience with LiDAR-inertial and visual-inertial odometry and SLAM algorithms.
- Strong proficiency in C++ and Python, including modern software engineering practices.
- Understanding of ROS and experience designing, building, and deploying ROS nodes in complex robotic systems.
Nice to have
- Publications or patents in calibration, state estimation, odometry, or SLAM.
- Experience with noisy sensor measurements, outlier-resilient algorithms, and computationally constrained platforms.
- Experience developing efficient real-time algorithms or working with radar, Doppler-LiDAR, GPS, or other sensing modalities.
- Experience with modern version control and project management tools.
Culture & Benefits
- Fully onsite work in the Irvine, California office with flexible hours to support work-life balance.
- Opportunity to work on autonomous robots deployed in unstructured and previously unknown environments.
- Collaborative environment focused on creativity, resilience, interdisciplinary expertise, and complex robotics challenges.
- Inclusive workplace committed to evaluating candidates and employees based on merit, qualifications, and performance.
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