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Localization & Mapping Engineer

California, United States (On-site)

Localization & Mapping Engineer

5 Months ago • 1-2 Years • Localization

About the job

8 skills required for this role

Test your skills to join the top 1% applicants for this job

cpp

open-cv

algorithms

data-structures

python

linux

opencv

lqa

Job Description

Localization & Mapping Engineer needed for autonomous ground handling. Must have C++, Python, ROS, and non-linear optimization experience.

Must have:

C++ Programming
Python Programming
ROS Experience
Non-linear Optimization

Good to have:

ROS2 Experience
Factor Graphs
Graph Slam
Ceres Solver

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About the job

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a private company founded in 2020 and backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

Role Responsibilities

You will be part of the core autonomy team and will be working on delivering the following:

Identify and solve gaps in the current localization and mapping system

Implement, deploy, test and maintain new localization capabilities for the autonomous system

Research state of the art localization techniques and evaluate to see if it can be incorporated into the system to expand operating environments

Evaluate various new sensor modalities to improve localization and mapping

Build metrics tools to evaluate how well the localization sub-system is performing

Research, develop, test and maintain a calibration system to identify sensor extrinsics and camera intrinsics

Develop and maintain tools to maintain topographical map of the operating environment

Work closely with the other autonomy sub teams (planning, perception, infrastructure) to successfully deploy the autonomous system

Qualifications

Minimum Qualifications

1-2 years of work experience in development of industrial robots or industrial automation

Theoretical knowledge of one or more areas of autonomous driving: localization & mapping, perception, tracking or overall system development

Bachelor’s Degree or Master’s Degree candidate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field

Strong C++ and Python programming

Working experience with a Linux based Operating System (Ubuntu, Debian) and Robot Operating System (ROS/ROS2) middleware, OpenCV

Proven experience with non-linear optimization and various filtering algorithms like EKF, UKF, Particle filters

Demonstrated work experience with various sensors such as LiDARs, Camera, IMU, GPS, Radar etc

Highly collaborative nature and exceptional communicator with strong problem solving skills

Desired Qualifications

MS or PhD in Computer Science, Math, Robotics or a related field

2-3 years of work experience in development of industrial robots or industrial automation

In-Depth understanding of middleware frameworks like ROS/ROS2

Proven experience with factor graphs and graph slam algorithms

Proven experience with non linear solvers like Ceres, GTSAM, g2o

Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products

Mastery of Modern C++ (14 and beyond) and safety critical coding practices

Proven experience with open source algorithms/software like google cartographer, slam toolbox, fuse, ORB SLAM, LOAM, LIO-SAM robot localization etc

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About The Company

AeroVect

1 Active Job

AeroVect deploys autonomous driving systems for GSE, trusted by the world's most innovative airlines and ground handlers.