Plus
Senior/Staff Research Engineer, Mapping & Localization
Plus, Santa Clara, California, us, 95053
Responsibilities:Lidar Algorithm Development:
Develop, implement, and optimize LiDAR-based localization and mapping algorithms for autonomous vehicles.Sensor Fusion Development:
Integrate LiDAR data with other sensor data (e.g., GPS, IMU, cameras) to create accurate, real-time maps and localization solutions.Solution Deployment:
Lead deployment of localization and mapping solutions into the autonomous driving stack collaborating with software, hardware and product teams.Issue Resolution:
Triage and debug issues related to localization and mapping, ensuring continuous improvement and system robustness.Map Support:
Support the online and offline generation and interfacing of maps to maintain and enhance localization accuracy.System Improvement:
Drive improvements to the continuous integration (CI) system for localization and mapping, enhancing efficiency and reliability.Required Skills:MS or PhD in CS, EE, Robotics or a related field.Proven experience in LiDAR-based localization and mapping for autonomous vehicles or robotics.Strong background in sensor fusion, particularly with LiDAR, GPS, IMU, and camera data.Proficiency in C++ and ROS.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication skills and the ability to effectively convey technical concepts to non-technical team members.Preferred Skills:Relevant industry experience (prior work on self-driving vehicles, drone, autonomy and/or robotics projects).Experience with Gaussian splatting/NeRF is a plus.Experience with deep learning techniques applied to localization and mapping is a plus.Salary Range:$170,000 - $210,000 a yearOur compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
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Develop, implement, and optimize LiDAR-based localization and mapping algorithms for autonomous vehicles.Sensor Fusion Development:
Integrate LiDAR data with other sensor data (e.g., GPS, IMU, cameras) to create accurate, real-time maps and localization solutions.Solution Deployment:
Lead deployment of localization and mapping solutions into the autonomous driving stack collaborating with software, hardware and product teams.Issue Resolution:
Triage and debug issues related to localization and mapping, ensuring continuous improvement and system robustness.Map Support:
Support the online and offline generation and interfacing of maps to maintain and enhance localization accuracy.System Improvement:
Drive improvements to the continuous integration (CI) system for localization and mapping, enhancing efficiency and reliability.Required Skills:MS or PhD in CS, EE, Robotics or a related field.Proven experience in LiDAR-based localization and mapping for autonomous vehicles or robotics.Strong background in sensor fusion, particularly with LiDAR, GPS, IMU, and camera data.Proficiency in C++ and ROS.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication skills and the ability to effectively convey technical concepts to non-technical team members.Preferred Skills:Relevant industry experience (prior work on self-driving vehicles, drone, autonomy and/or robotics projects).Experience with Gaussian splatting/NeRF is a plus.Experience with deep learning techniques applied to localization and mapping is a plus.Salary Range:$170,000 - $210,000 a yearOur compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
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